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C
CVPR
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

San Francisco, CA, USA

June 13-June 18

ISBN: 978-1-4244-6984-0

Table of Contents

Detecting and sketching the common (Abstract)

Shai Bagon, Dept. of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot 76100, Israel

Ori Brostovski, Dept. of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot 76100, Israel

Meirav Galun, Dept. of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot 76100, Israel

Michal Irani, Dept. of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot 76100, Israel

pp. 33-40

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Toward coherent object detection and scene layout understanding (Abstract)

Sid Ying-Ze Bao, Dept. of Electrical and Computer Engineering, University of Michigan at Ann Arbor, USA

Min Sun, Dept. of Electrical and Computer Engineering, University of Michigan at Ann Arbor, USA

Silvio Savarese, Dept. of Electrical and Computer Engineering, University of Michigan at Ann Arbor, USA

pp. 65-72

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Cascaded L1-norm Minimization Learning (CLML) classifier for human detection (Abstract)

Ran Xu, Graduate University of Chinese Academy of Sciences, Beijing, China

Baochang Zhang, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

Qixiang Ye, Graduate University of Chinese Academy of Sciences, Beijing, China

Jianbin Jiao, Graduate University of Chinese Academy of Sciences, Beijing, China

pp. 89-96

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Multi-class object localization by combining local contextual interactions (Abstract)

Carolina Galleguillos, Computer Science and Engineering Department, University of California, San Diego

Brian McFee, Computer Science and Engineering Department, University of California, San Diego

Serge Belongie, Computer Science and Engineering Department, University of California, San Diego

Gert Lanckriet, Electrical and Computer Engineering Department, University of California, San Diego

pp. 113-120

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Learning appearance in virtual scenarios for pedestrian detection (Abstract)

Javier Marin, Computer Vision Center and Computer Science Dpt. UAB, 08193 Bellaterra, Barcelona, Spain

David Vazquez, Computer Vision Center and Computer Science Dpt. UAB, 08193 Bellaterra, Barcelona, Spain

David Geronimo, Computer Vision Center and Computer Science Dpt. UAB, 08193 Bellaterra, Barcelona, Spain

Antonio M. Lopez, Computer Vision Center and Computer Science Dpt. UAB, 08193 Bellaterra, Barcelona, Spain

pp. 137-144

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A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid (Abstract)

Yong Xu, School of Computer Science & Engineering, South China Univ. of Tech., Guangzhou 510006, China

Xiong Yang, School of Computer Science & Engineering, South China Univ. of Tech., Guangzhou 510006, China

Haibin Ling, Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, U.S.A.

Hui Ji, Department of Mathematics, National University of Singapore, Singapore 117542

pp. 161-168

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Estimating optical properties of layered surfaces using the spider model (Abstract)

Tetsuro Morimoto, Information Technology Research Laboratory, Toppan Printing Co., Ltd

Robby T Tan, Department of Information and Computing Sciences, Utrecht University

Rei Kawakami, Institute of Industrial Science, The University of Tokyo

Katsushi Ikeuchi, Institute of Industrial Science, The University of Tokyo

pp. 207-214

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Learning to recognize shadows in monochromatic natural images (Abstract)

Jiejie Zhu, University of Central Florida, School of Electrical Engineering and Computer Science, Orlando, FL

Kegan G. G. Samuel, University of Central Florida, School of Electrical Engineering and Computer Science, Orlando, FL

Syed Z. Masood, University of Central Florida, School of Electrical Engineering and Computer Science, Orlando, FL

Marshall F. Tappen, University of Central Florida, School of Electrical Engineering and Computer Science, Orlando, FL

pp. 223-230

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Surface color estimation based on inter- and intra-pixel relationships in outdoor scenes (Abstract)

Shun Hirose, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara, Japan

Kentaro Takemura, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara, Japan

Jun Takamatsu, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara, Japan

Tsuyoshi Suenaga, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara, Japan

Rei Kawakami, University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo, Japan

Tsukasa Ogasawara, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara, Japan

pp. 271-278

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Estimating demosaicing algorithms using image noise variance (Abstract)

Jun Takamatsu, Nara Institute of Science and Technology, MSR-IJARC fellow 8916-5, Takayama-cho, Ikoma, Nara, Japan

Yasuyuki Matsushita, Microsoft Research Asia, 5F, Beijing Sigma Center, No. 49, Zhichun road, Haidian district, Beijing, China

Tsukasa Ogasawara, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara, Japan

Katsushi Ikeuchi, University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo, Japan

pp. 279-286

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The phase only transform for unsupervised surface defect detection (Abstract)

Dror Aiger, Université Paris-Est, Laboratoire d'Informatique Gaspard-Monge, Equipe A3SI, ESIEE Paris, 2 Boulevard Blaise-Pascal, 93162 Noisy-le-Grand Cedex France

Hugues Talbot, Université Paris-Est, Laboratoire d'Informatique Gaspard-Monge, Equipe A3SI, ESIEE Paris, 2 Boulevard Blaise-Pascal, 93162 Noisy-le-Grand Cedex France

pp. 295-302

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Robust order-based methods for feature description (Abstract)

Raj Gupta, Department of Computer Science and Engg., Indian Institute of Technology Madras, Chennai India - 600036

Harshal Patil, Department of Computer Science and Engg., Indian Institute of Technology Madras, Chennai India - 600036

Anurag Mittal, Department of Computer Science and Engg., Indian Institute of Technology Madras, Chennai India - 600036

pp. 334-341

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Estimating camera pose from a single urban ground-view omnidirectional image and a 2D building outline map (Abstract)

Tat-Jen Cham, School of Computer Engineering, Nanyang Technological University; Singapore Surrey Space Centre, University of Surrey; Guildford, England

Arridhana Ciptadi, School of Computer Engineering, Nanyang Technological University; Singapore Surrey Space Centre, University of Surrey; Guildford, England

Wei-Chian Tan, School of Computer Engineering, Nanyang Technological University; Singapore Surrey Space Centre, University of Surrey; Guildford, England

Minh-Tri Pham, School of Computer Engineering, Nanyang Technological University; Singapore Surrey Space Centre, University of Surrey; Guildford, England

Liang-Tien Chia, School of Computer Engineering, Nanyang Technological University; Singapore Surrey Space Centre, University of Surrey; Guildford, England

pp. 366-373

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Dense non-rigid surface registration using high-order graph matching (Abstract)

Yun Zeng, Stony Brook University

Chaohui Wang, Laboratoire MAS, Ecole Centrale Paris

Yang Wang, Carnegie Mellon University

Xianfeng Gu, Computer Science Department, Stony Brook University

Dimitris Samaras, Computer Science Department, Stony Brook University

Nikos Paragios, Laboratoire MAS, Ecole Centrale Paris, France, Equipe GALEN, INRIA Saclay - Ile-de-France

pp. 382-389

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Line matching leveraged by point correspondences (Abstract)

Bin Fan, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China

Fuchao Wu, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China

Zhanyi Hu, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China

pp. 390-397

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A game-theoretic approach to fine surface registration without initial motion estimation (Abstract)

Andrea Albarelli, Dipartimento di Informatica - Università Ca' Foscari - via Torino, 155 - 30172 Venice Italy

Emanuele Rodola, Dipartimento di Informatica - Università Ca' Foscari - via Torino, 155 - 30172 Venice Italy

Andrea Torsello, Dipartimento di Informatica - Università Ca' Foscari - via Torino, 155 - 30172 Venice Italy

pp. 430-437

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Global and local isometry-invariant descriptor for 3D shape comparison and partial matching (Abstract)

Huai-Yu Wu, Peking University, Key Laboratory of Machine Perception (MOE)

Hongbin Zha, Peking University, Key Laboratory of Machine Perception (MOE)

Tao Luo, Peking University, Key Laboratory of Machine Perception (MOE)

Xu-Lei Wang, Peking University, Key Laboratory of Machine Perception (MOE)

Songde Ma, NLPR, CASIA

pp. 438-445

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Growing semantically meaningful models for visual SLAM (Abstract)

Alex Flint, Active Vision Lab, Dept. Engineering Science, University of Oxford, Parks Road, Oxford, UK

Christopher Mei, Mobile Robotics Group, Dept. Engineering Science, University of Oxford, Parks Road, Oxford, UK

Ian Reid, Active Vision Lab, Dept. Engineering Science, University of Oxford, Parks Road, Oxford, UK

David Murray, Active Vision Lab, Dept. Engineering Science, University of Oxford, Parks Road, Oxford, UK

pp. 467-474

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Diffeomorphic sulcal shape analysis for cortical surface registration (Abstract)

Shantanu H. Joshi, Laboratory of Neuro Imaging, University of California, Los Angeles Los Angeles, California, 90095, USA

Ryan P. Cabeen, Laboratory of Neuro Imaging, University of California, Los Angeles Los Angeles, California, 90095, USA

Anand A. Joshi, Laboratory of Neuro Imaging, University of California, Los Angeles Los Angeles, California, 90095, USA

Roger P. Woods, Laboratory of Neuro Imaging, University of California, Los Angeles Los Angeles, California, 90095, USA

Katherine L. Narr, Laboratory of Neuro Imaging, University of California, Los Angeles Los Angeles, California, 90095, USA

Arthur W. Toga, Laboratory of Neuro Imaging, University of California, Los Angeles Los Angeles, California, 90095, USA

pp. 475-482

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Axial light field for curved mirrors: Reflect your perspective, widen your view (Abstract)

Yuichi Taguchi, Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA

Amit Agrawal, Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA

Srikumar Ramalingam, Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA

Ashok Veeraraghavan, Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA

pp. 499-506

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Warp propagation for video resizing (Abstract)

Yuzhen Niu, School of Computer Science and Technology Shandong University Jinan, Shandong, 250101, China

Feng Liu, Department of Computer Sciences University of Wisconsin-Madison Madison, WI, 53706, USA

Xueqing Li, School of Computer Science and Technology Shandong University Jinan, Shandong, 250101, China

Michael Gleicher, Department of Computer Sciences University of Wisconsin-Madison Madison, WI, 53706, USA

pp. 537-544

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Noise-optimal capture for high dynamic range photography (Abstract)

Samuel W. Hasinoff, Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory

Fredo Durand, Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory

William T. Freeman, Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory

pp. 553-560

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Estimating satellite attitude from pushbroom sensors (Abstract)

Regis Perrier, INRIA Grenoble, 655, avenue de l'Europe 38330 Montbonnot, France

Elise Arnaud, Université Joseph Fourier, LJK, 655, avenue de l'Europe 38330 Montbonnot, France

Peter Sturm, INRIA Grenoble, 655, avenue de l'Europe 38330 Montbonnot, France

Mathias Ortner, EADS Astrium, 655, avenue de l'Europe 38330 Montbonnot, France

pp. 591-598

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Optimal coded sampling for temporal super-resolution (Abstract)

Amit Agrawal, Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139

Mohit Gupta, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213

Ashok Veeraraghavan, Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139

Srinivasa G. Narasimhan, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213

pp. 599-606

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Efficient filter flow for space-variant multiframe blind deconvolution (Abstract)

Michael Hirsch, MPI for Biological Cybernetics, Spemannstrae 38, 72076 Tbingen, Germany

Suvrit Sra, MPI for Biological Cybernetics, Spemannstrae 38, 72076 Tbingen, Germany

Bernhard Scholkopf, MPI for Biological Cybernetics, Spemannstrae 38, 72076 Tbingen, Germany

Stefan Harmeling, MPI for Biological Cybernetics, Spemannstrae 38, 72076 Tbingen, Germany

pp. 607-614

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Contour people: A parameterized model of 2D articulated human shape (Abstract)

Oren Freifeld, Division of Applied Mathematics, Brown University, Providence, RI 02912, USA

Alexander Weiss, Department of Computer Science, Brown University, Providence, RI 02912, USA

Silvia Zuffi, Department of Computer Science, Brown University, Providence, RI 02912, USA

Michael J. Black, Department of Computer Science, Brown University, Providence, RI 02912, USA

pp. 639-646

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Multisensor-fusion for 3D full-body human motion capture (Abstract)

Gerard Pons-Moll, Leibniz Universität Hannover, Germany

Andreas Baak, Saarland University & MPI Informatik, Germany

Thomas Helten, Saarland University & MPI Informatik, Germany

Meinard Muller, Saarland University & MPI Informatik, Germany

Hans-Peter Seidel, Saarland University & MPI Informatik, Germany

Bodo Rosenhahn, Leibniz Universität Hannover, Germany

pp. 663-670

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Multi-target tracking by on-line learned discriminative appearance models (Abstract)

Cheng-Hao Kuo, University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089, USA

Chang Huang, University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089, USA

Ramakant Nevatia, University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089, USA

pp. 685-692

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PROST: Parallel robust online simple tracking (Abstract)

Jakob Santner, Institute for Computer Graphics and Vision, Graz University of Technology

Christian Leistner, Institute for Computer Graphics and Vision, Graz University of Technology

Amir Saffari, Institute for Computer Graphics and Vision, Graz University of Technology

Thomas Pock, Institute for Computer Graphics and Vision, Graz University of Technology

Horst Bischof, Institute for Computer Graphics and Vision, Graz University of Technology

pp. 723-730

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Player localization using multiple static cameras for sports visualization (Abstract)

Raffay Hamid, Disney Research, Pittsburgh PA 15213

Ram Krishan Kumar, Disney Research, Pittsburgh PA 15213

Matthias Grundmann, Georgia Institute of Technology, Atlanta GA 30332

Kihwan Kim, Georgia Institute of Technology, Atlanta GA 30332

Irfan Essa, Georgia Institute of Technology, Atlanta GA 30332

Jessica Hodgins, Disney Research, Pittsburgh PA 15213

pp. 731-738

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An online approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene (Abstract)

Xuan Song, Key Laboratory of Machine Perception (MoE), Peking University, China

Xiaowei Shao, Center for Spatial Information Science, University of Tokyo, Japan

Huijing Zhao, Key Laboratory of Machine Perception (MoE), Peking University, China

Jinshi Cui, Key Laboratory of Machine Perception (MoE), Peking University, China

Ryosuke Shibasaki, Center for Spatial Information Science, University of Tokyo, Japan

Hongbin Zha, Key Laboratory of Machine Perception (MoE), Peking University, China

pp. 739-746

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Real time motion capture using a single time-of-flight camera (Abstract)

Varun Ganapathi, Stanford University, Computer Science Department, Stanford, CA, USA

Christian Plagemann, Stanford University, Computer Science Department, Stanford, CA, USA

Daphne Koller, Stanford University, Computer Science Department, Stanford, CA, USA

Sebastian Thrun, Stanford University, Computer Science Department, Stanford, CA, USA

pp. 755-762

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RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images (Abstract)

Yigang Peng, TNLIST and Dept. of Automation, Tsinghua University

Arvind Ganesh, Dept. of Electrical and Computer Engg., University of Illinois at Urbana-Champaign

John Wright, Visual Computing Group, Microsoft Research Asia

Wenli Xu, TNLIST and Dept. of Automation, Tsinghua University

Yi Ma, Dept. of Electrical and Computer Engg., University of Illinois at Urbana-Champaign

pp. 763-770

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On the design of robust classifiers for computer vision (Abstract)

Hamed Masnadi-Shirazi, Department of Electrical and Computer Engineering, University of California, San Diego

Vijay Mahadevan, Department of Electrical and Computer Engineering, University of California, San Diego

Nuno Vasconcelos, Department of Electrical and Computer Engineering, University of California, San Diego

pp. 779-786

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Efficient joint 2D and 3D palmprint matching with alignment refinement (Abstract)

Wei Li, Biometrics Research Center, Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China

Lei Zhang, Biometrics Research Center, Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China

David Zhang, Biometrics Research Center, Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China

Guangming Lu, Biocomputing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shen Zhen, China

Jingqi Yan, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China

pp. 795-801

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Harvesting large-scale weakly-tagged image databases from the web (Abstract)

Jianping Fan, Department of Computer Science, UNC-Charlotte, NC28223, USA

Yi Shen, Department of Computer Science, UNC-Charlotte, NC28223, USA

Ning Zhou, Department of Computer Science, UNC-Charlotte, NC28223, USA

Yuli Gao, Multimedia Interaction and Understanding, HP Labs, Palo Alto, CA94304, USA

pp. 802-809

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Action classification on product manifolds (Abstract)

Yui Man Lui, Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA

J. Ross Beveridge, Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA

Michael Kirby, Department of Mathematics, Colorado State University, Fort Collins, CO 80523, USA

pp. 833-839

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Motion fields to predict play evolution in dynamic sport scenes (Abstract)

Kihwan Kim, Georgia Institute of Technology, Atlanta, GA, USA

Matthias Grundmann, Georgia Institute of Technology, Atlanta, GA, USA

Ariel Shamir, The Interdisciplinary Center, Herzliya, Israel

Iain Matthews, Disney Research, Pittsburgh, PA, USA

Jessica Hodgins, Disney Research, Pittsburgh, PA, USA

Irfan Essa, Georgia Institute of Technology, Atlanta, GA, USA

pp. 840-847

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Shape-based similarity retrieval of Doppler images for clinical decision support (Abstract)

T. Syeda-Mahmood, IBM Almaden Research Center, 650 Harry Road

P. Turaga, University of Maryland, College Park

D. Beymer, IBM Almaden Research Center, 650 Harry Road

F. Wang, IBM Almaden Research Center, 650 Harry Road

A. Amir, IBM Almaden Research Center, 650 Harry Road

H. Greenspan, IBM Almaden Research Center, 650 Harry Road

K. Pohl, IBM Almaden Research Center, 650 Harry Road

pp. 855-862

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Real-time vehicle global localisation with a single camera in dense urban areas: Exploitation of coarse 3D city models (Abstract)

Pierre Lothe, CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, 91191 France

Steve Bourgeois, CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, 91191 France

Eric Royer, LASMEA-UMR 6602 Université Blaise Pascal/CNRS, 63177 Aubière Cedex, France

Michel Dhome, LASMEA-UMR 6602 Université Blaise Pascal/CNRS, 63177 Aubière Cedex, France

Sylvie Naudet-Collette, CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, 91191 France

pp. 863-870

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YouTubeCat: Learning to categorize wild web videos (Abstract)

Zheshen Wang, Computer Science and Engineering, Arizona State University, Tempe, AZ 85281, USA

Ming Zhao, Google Research, Mountain View, CA 94043, USA

Yang Song, Google Research, Mountain View, CA 94043, USA

Sanjiv Kumar, Google Research, New York, NY 10011, USA

Baoxin Li, Computer Science and Engineering, Arizona State University, Tempe, AZ 85281, USA

pp. 879-886

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What helps where �?? and why? Semantic relatedness for knowledge transfer (Abstract)

Marcus Rohrbach, Department of Computer Science, TU Darmstadt

Michael Stark, Department of Computer Science, TU Darmstadt

Gyorgy Szarvas, Department of Computer Science, TU Darmstadt

Iryna Gurevych, Department of Computer Science, TU Darmstadt

Bernt Schiele, Department of Computer Science, TU Darmstadt

pp. 910-917

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Towards semantic embedding in visual vocabulary (Abstract)

Rongrong Ji, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Hongxun Yao, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Xiaoshuai Sun, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Bineng Zhong, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Wen Gao, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

pp. 918-925

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Exploiting Monge structures in optimum subwindow search (Abstract)

Senjian An, Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia

Patrick Peursum, Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia

Wanquan Liu, Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia

Svetha Venkatesh, Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia

Xiaoming Chen, Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia

pp. 926-933

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Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features (Abstract)

Gabriel Takacs, Information Systems Laboratory, Stanford University

Vijay Chandrasekhar, Information Systems Laboratory, Stanford University

Sam Tsai, Information Systems Laboratory, Stanford University

David Chen, Information Systems Laboratory, Stanford University

Radek Grzeszczuk, Nokia Research Center, Palo Alto, CA

Bernd Girod, Information Systems Laboratory, Stanford University

pp. 934-941

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Fast polygonal integration and its application in extending haar-like features to improve object detection (Abstract)

Minh-Tri Pham, Surrey Space Centre, University of Surrey, England

Yang Gao, Surrey Space Centre, University of Surrey, England

Viet-Dung D. Hoang, School of Computer Engineering, Nanyang Technological University, Singapore

Tat-Jen Cham, School of Computer Engineering, Nanyang Technological University, Singapore

pp. 942-949

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Support vector regression for multi-view gait recognition based on local motion feature selection (Abstract)

Worapan Kusakunniran, School of Computer Science and Engineering - University of New South Wales

Qiang Wu, School of Computing and Communications - University of Technology Sydney

Jian Zhang, School of Computer Science and Engineering - University of New South Wales

Hongdong Li, Research School of Information Sciences and Engineering - Australian National University

pp. 974-981

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Multi-cue pedestrian classification with partial occlusion handling (Abstract)

Markus Enzweiler, Image & Pattern Analysis Group, Univ. of Heidelberg, Germany

Angela Eigenstetter, Computer Science Department, TU Darmstadt, Germany

Bernt Schiele, Computer Science Department, TU Darmstadt, Germany

Dariu M. Gavrila, Environment Perception, Group Research, Daimler AG, Ulm, Germany

pp. 990-997

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Model globally, match locally: Efficient and robust 3D object recognition (Abstract)

Bertram Drost, MVTec Software GmbH, Neherstraße 1, 81675 Munich, Germany

Markus Ulrich, MVTec Software GmbH, Neherstraße 1, 81675 Munich, Germany

Nassir Navab, Department of Computer Science, Technical University of Munich (TUM), Boltzmannstraße 3, 85748 Garching, Germany

Slobodan Ilic, Department of Computer Science, Technical University of Munich (TUM), Boltzmannstraße 3, 85748 Garching, Germany

pp. 998-1005

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Efficient rotation invariant object detection using boosted Random Ferns (Abstract)

Michael Villamizar, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028. Barcelona, Spain

Francesc Moreno-Noguer, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028. Barcelona, Spain

Juan Andrade-Cetto, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028. Barcelona, Spain

Alberto Sanfeliu, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028. Barcelona, Spain

pp. 1038-1045

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Fast and robust object segmentation with the Integral Linear Classifier (Abstract)

David Aldavert, Computer Vision Center, Dept. Computer Science, Univ. Autònoma de Barcelona

Ramon Lopez de Mantaras, Artificial Intelligence Research Institute (IIIA-CSIC), Campus UAB

Arnau Ramisa, INRIA-Grenoble, Artificial Intelligence Research Institute (IIIA-CSIC)

Ricardo Toledo, Computer Vision Center, Dept. Computer Science, Univ. Autònoma de Barcelona

pp. 1046-1053

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Free-shape subwindow search for object localization (Abstract)

Zhiqi Zhang, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Yu Cao, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Dhaval Salvi, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Kenton Oliver, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Jarrell Waggoner, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Song Wang, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

pp. 1086-1093

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Using cloud shadows to infer scene structure and camera calibration (Abstract)

Nathan Jacobs, Computer Science and Engineering, Washington University in St. Louis, MO, USA

Brian Bies, Computer Science and Engineering, Washington University in St. Louis, MO, USA

Robert Pless, Computer Science and Engineering, Washington University in St. Louis, MO, USA

pp. 1102-1109

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Self-calibrating photometric stereo (Abstract)

Boxin Shi, Key Lab of Machine Perception (MOE), Peking University

Yasuyuki Matsushita, Microsoft Research Asia

Yichen Wei, Microsoft Research Asia

Chao Xu, Key Lab of Machine Perception (MOE), Peking University

Ping Tan, Department of Electrical & Computer Engineering, National University of Singapore

pp. 1118-1125

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Geometric properties of multiple reflections in catadioptric camera with two planar mirrors (Abstract)

Xianghua Ying, The Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, 100871, P.R. China

Kun Peng, The Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, 100871, P.R. China

Ren Ren, The Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, 100871, P.R. China

Hongbin Zha, The Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, 100871, P.R. China

pp. 1126-1132

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Object cut: Complex 3D object reconstruction through line drawing separation (Abstract)

Tianfan Xue, Department of Information Engineering, The Chinese University of Hong Kong

Jianzhuang Liu, Department of Information Engineering, The Chinese University of Hong Kong

Xiaoou Tang, Department of Information Engineering, The Chinese University of Hong Kong

pp. 1149-1156

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Shape and refractive index recovery from single-view polarisation images (Abstract)

Cong Phuoc Huynh, School of Engineering, Australian National University, Canberra ACT 0200, Australia

Antonio Robles-Kelly, School of Engineering, Australian National University, Canberra ACT 0200, Australia

Edwin Hancock, Department of Computer Science, University of York, Heslington, York, YO10 5DD, UK

pp. 1229-1236

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Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes (Abstract)

Shengcai Liao, Center for Biometrics and Security Research & National Laboratory of Pattern, Recognition, Institute of Automation, Chinese Academy of Sciences

Guoying Zhao, Machine Vision Group, University of Oulu, Finland

Vili Kellokumpu, Machine Vision Group, University of Oulu, Finland

Matti Pietikainen, Machine Vision Group, University of Oulu, Finland

Stan Z. Li, Center for Biometrics and Security Research & National Laboratory of Pattern, Recognition, Institute of Automation, Chinese Academy of Sciences

pp. 1301-1306

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Visual tracking via incremental self-tuning particle filtering on the affine group (Abstract)

Min Li, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

Wei Chen, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

Kaiqi Huang, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

Tieniu Tan, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

pp. 1315-1322

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Visual tracking via weakly supervised learning from multiple imperfect oracles (Abstract)

Bineng Zhong, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Hongxun Yao, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Sheng Chen, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Rongrong Ji, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Xiaotong Yuan, Department of Electrical and Computer Engineering, National University of Singapore, Singapore

Shaohui Liu, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

Wen Gao, Harbin Institute of Technology, Heilongjiang Province, 150001, P. R. China

pp. 1323-1330

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Trajectory matching from unsynchronized videos (Abstract)

Han Hu, State Key Laboratory on Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua Univers

Jie Zhou, State Key Laboratory on Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua Univers

pp. 1347-1354

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Rapid selection of reliable templates for visual tracking (Abstract)

Nicolas Alt, Institute for Media Technology

Stefan Hinterstoisser, Chair for Computer Aided Medical Procedures, Technische Universität München, 80290 München, Germany

Nassir Navab, Chair for Computer Aided Medical Procedures, Technische Universität München, 80290 München, Germany

pp. 1355-1362

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Generalized simultaneous registration and segmentation (Abstract)

Pratim Ghosh, Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106-9560

Emre Sargin, Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106-9560

B. S. Manjunath, Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106-9560

pp. 1363-1370

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Novel observation model for probabilistic object tracking (Abstract)

Dawei Liang, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Qingming Huang, Graduate University of Chinese Academy of Sciences, Beijing, China

Hongxun Yao, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Shuqiang Jiang, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Rongrong Ji, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Wen Gao, National Engineering Laboratory for Video Technology, Peking University, Beijing, China

pp. 1387-1394

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Online multiple instance learning with no regret (Abstract)

Mu Li, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

James T. Kwok, Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong

Bao-Liang Lu, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

pp. 1395-1401

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Piecewise planar and non-planar stereo for urban scene reconstruction (Abstract)

David Gallup, Department of Computer Science, The University of North Carolina, Chapel Hill, NC, USA

Jan-Michael Frahm, Department of Computer Science, The University of North Carolina, Chapel Hill, NC, USA

Marc Pollefeys, Department of Computer Science, ETH Zürich, Zürich, Switzerland

pp. 1418-1425

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Accurate 3D face reconstruction from weakly calibrated wide baseline images with profile contours (Abstract)

Yuping Lin, Computer Science Department, University of Southern California, 3737 Watt Way, PHE 101, Los Angeles, CA, 90089

Gerard Medioni, Computer Science Department, University of Southern California, 3737 Watt Way, PHE 101, Los Angeles, CA, 90089

Jongmoo Choi, Computer Science Department, University of Southern California, 3737 Watt Way, PHE 101, Los Angeles, CA, 90089

pp. 1490-1497

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Ray Markov Random Fields for image-based 3D modeling: Model and efficient inference (Abstract)

Shubao Liu, Laboratory for Engineering Man/Machine Systems (LEMS), Division of Engineering, Brown University, Providence, RI 02912

David B. Cooper, Laboratory for Engineering Man/Machine Systems (LEMS), Division of Engineering, Brown University, Providence, RI 02912

pp. 1530-1537

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Exploiting global connectivity constraints for reconstruction of 3D line segments from images (Abstract)

Arjun Jain, Max-Planck-Institut Informatik, Saarbrücken, Germany

Christian Kurz, Max-Planck-Institut Informatik, Saarbrücken, Germany

Thorsten Thormahlen, Max-Planck-Institut Informatik, Saarbrücken, Germany

Hans-Peter Seidel, Max-Planck-Institut Informatik, Saarbrücken, Germany

pp. 1586-1593

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Improving the efficiency of hierarchical structure-and-motion (Abstract)

Riccardo Gherardi, Dipartimento di Informática, Università di Verona, Strada Le Grazie 15, 37134 Verona (Italy)

Michela Farenzena, Dipartimento di Informática, Università di Verona, Strada Le Grazie 15, 37134 Verona (Italy)

Andrea Fusiello, Dipartimento di Informática, Università di Verona, Strada Le Grazie 15, 37134 Verona (Italy)

pp. 1594-1600

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Multiview constraints in frequency space and camera calibration from unsynchronized images (Abstract)

Hiroki Matsumoto, Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan

Jun Sato, Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan

Fumihiko Sakaue, Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan

pp. 1601-1608

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A novel riemannian framework for shape analysis of 3D objects (Abstract)

Sebastian Kurtek, Department of Statistics, Florida State University, Tallahassee, FL

Eric Klassen, Department of Mathematics, Florida State University, Tallahassee, FL

Zhaohua Ding, Institute of Imaging Science, Vanderbilt University, Nashville, TN

Anuj Srivastava, Department of Statistics, Florida State University, Tallahassee, FL

pp. 1625-1632

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Object matching with a locally affine-invariant constraint (Abstract)

Hongsheng Li, Department of Computer Science and Engineering, Lehigh University, PA 18015

Edward Kim, Department of Computer Science and Engineering, Lehigh University, PA 18015

Xiaolei Huang, Department of Computer Science and Engineering, Lehigh University, PA 18015

Lei He, National Library of Medicine, NIH, Bethesda, MD 20894

pp. 1641-1648

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Linked edges as stable region boundaries (Abstract)

Michael Donoser, Institute for Computer Graphics and Vision, Graz University of Technology, Austria

Hayko Riemenschneider, Institute for Computer Graphics and Vision, Graz University of Technology, Austria

Horst Bischof, Institute for Computer Graphics and Vision, Graz University of Technology, Austria

pp. 1665-1672

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Many-to-one contour matching for describing and discriminating object shape (Abstract)

Praveen Srinivasan, GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA - 19104

Qihui Zhu, GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA - 19104

Jianbo Shi, GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA - 19104

pp. 1673-1680

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3D model based vehicle classification in aerial imagery (Abstract)

Saad M. Khan, Sarnoff Corporation 201 Washington Road, Princeton, NJ 08543, USA

Hui Cheng, Sarnoff Corporation 201 Washington Road, Princeton, NJ 08543, USA

Dennis Matthies, Sarnoff Corporation 201 Washington Road, Princeton, NJ 08543, USA

Harpreet Sawhney, Sarnoff Corporation 201 Washington Road, Princeton, NJ 08543, USA

pp. 1681-1687

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Scale-invariant heat kernel signatures for non-rigid shape recognition (Abstract)

Michael M. Bronstein, Department of Computer Science, Technion - Israel Institute of Technology, Haifa 32000, Israel

Iasonas Kokkinos, Laboratoire de Mathématiques Appliquées aux Systèmes, École Centrale de Paris, France, Equipe GALEN, INRIA Saclay - �?le-de-France, Orsay, France

pp. 1704-1711

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Object recognition as ranking holistic figure-ground hypotheses (Abstract)

Fuxin Li, Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathematics and Natural Sciences, University of Bonn

Joao Carreira, Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathematics and Natural Sciences, University of Bonn

Cristian Sminchisescu, Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathematics and Natural Sciences, University of Bonn

pp. 1712-1719

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Multiple object detection by sequential monte carlo and Hierarchical Detection Network (Abstract)

Michal Sofka, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA

Jingdan Zhang, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA

S. Kevin Zhou, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA

Dorin Comaniciu, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA

pp. 1735-1742

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Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction (Abstract)

Ashok Veeraraghavan, MERL, Cambridge MA

Alex. V. Genkin, HHMI, Ashburn, VA

Shiv Vitaladevuni, HHMI, Ashburn, VA

Lou Scheffer, HHMI, Ashburn, VA

Shan Xu, HHMI, Ashburn, VA

Harald Hess, HHMI, Ashburn, VA

Richard Fetter, HHMI, Ashburn, VA

Marco Cantoni, EPFL, Lausanne

Graham Knott, EPFL, Lausanne

Dmitri Chklovskii, HHMI, Ashburn, VA

pp. 1767-1774

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Robust video denoising using low rank matrix completion (Abstract)

Hui Ji, Department of Mathematics, National University of Singapore, Singapore 117542

Chaoqiang Liu, Center for Wavelets, Approx. and Info. Proc., National University of Singapore, Singapore 117542

Zuowei Shen, Department of Mathematics, National University of Singapore, Singapore 117542

Yuhong Xu, Center for Wavelets, Approx. and Info. Proc., National University of Singapore, Singapore 117542

pp. 1791-1798

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Adaptive linear predictors for real-time tracking (Abstract)

Stefan Holzer, Department of Computer Science, Technical University of Munich (TUM) Boltzmannstrasse 3, 85748 Garching, Germany

Slobodan Ilic, Department of Computer Science, Technical University of Munich (TUM) Boltzmannstrasse 3, 85748 Garching, Germany

Nassir Navab, Department of Computer Science, Technical University of Munich (TUM) Boltzmannstrasse 3, 85748 Garching, Germany

pp. 1807-1814

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Multilinear pose and body shape estimation of dressed subjects from image sets (Abstract)

Nils Hasler, Max-Planck-Institut Informatik (MPII)* Saarland University, Leibniz University Hannover Weta Digital

Hanno Ackermann, Max-Planck-Institut Informatik (MPII)* Saarland University, Leibniz University Hannover Weta Digital

Bodo Rosenhahn, Max-Planck-Institut Informatik (MPII)* Saarland University, Leibniz University Hannover Weta Digital

Thorsten Thormahlen, Max-Planck-Institut Informatik (MPII)* Saarland University, Leibniz University Hannover Weta Digital

Hans-Peter Seidel, Max-Planck-Institut Informatik (MPII)* Saarland University, Leibniz University Hannover Weta Digital

pp. 1823-1830

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Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling (Abstract)

Xiuzhuang Zhou, Computer Science School, Beijing Institute of Technology, Beijing Laboratory of Intelligent Information Technology, Beijing, China

Yao Lu, Computer Science School, Beijing Institute of Technology, Beijing Laboratory of Intelligent Information Technology, Beijing, China

pp. 1847-1854

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Robust RVM regression using sparse outlier model (Abstract)

Kaushik Mitra, Department of Electrical and Computer Engineering and Center for Automation Research, UMIACS, University of Maryland, College Park, MD

Ashok Veeraraghavan, Mitshubishi Electric Research Laboratories, Cambridge, MA

Rama Chellappa, Department of Electrical and Computer Engineering and Center for Automation Research, UMIACS, University of Maryland, College Park, MD

pp. 1887-1894

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Spherical embeddings for non-Euclidean dissimilarities (Abstract)

Richard C. Wilson, Department of Computer Science, University of York, UK

Edwin R. Hancock, Department of Computer Science, University of York, UK

Elzbieta Pekalska, School of Computer Science, University of Manchester, United Kingdom

Robert P. W. Duin, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Netherlands

pp. 1903-1910

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Moving vistas: Exploiting motion for describing scenes (Abstract)

Nitesh Shroff, Department of Electrical and Computer Engineering, Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742

Pavan Turaga, Department of Electrical and Computer Engineering, Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742

Rama Chellappa, Department of Electrical and Computer Engineering, Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742

pp. 1911-1918

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Improving state-of-the-art OCR through high-precision document-specific modeling (Abstract)

Andrew Kae, Department of Computer Science University of Massachusetts Amherst

Gary Huang, Department of Computer Science University of Massachusetts Amherst

Carl Doersch, Department of Computer Science, Carnegie Mellon University

Erik Learned-Miller, Department of Computer Science University of Massachusetts Amherst

pp. 1935-1942

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Visual event recognition in videos by learning from web data (Abstract)

Lixin Duan, School of Computer Engineering, Nanyang Technological University

Dong Xu, School of Computer Engineering, Nanyang Technological University

Ivor W. Tsang, School of Computer Engineering, Nanyang Technological University

Jiebo Luo, Kodak Research Labs, Eastman Kodak Company, Rochester, NY, USA

pp. 1959-1966

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Temporal causality for the analysis of visual events (Abstract)

Karthir Prabhakar, Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology

Sangmin Oh, Kitware, Inc.

Ping Wang, Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology

Gregory D. Abowd, Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology

James M. Rehg, Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology

pp. 1967-1974

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Anomaly detection in crowded scenes (Abstract)

Vijay Mahadevan, Department of Electrical and Computer Engineering, University of California, San Diego

Weixin Li, Department of Electrical and Computer Engineering, University of California, San Diego

Viral Bhalodia, Department of Electrical and Computer Engineering, University of California, San Diego

Nuno Vasconcelos, Department of Electrical and Computer Engineering, University of California, San Diego

pp. 1975-1981

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Illumination compensation based change detection using order consistency (Abstract)

Vasu Parameswaran, Real Time Vision and Industrial Imaging, Siemens Corporate Research, Siemens Corporation, Princeton, NJ 08540

Maneesh Singh, Real Time Vision and Industrial Imaging, Siemens Corporate Research, Siemens Corporation, Princeton, NJ 08540

Visvanathan Ramesh, Real Time Vision and Industrial Imaging, Siemens Corporate Research, Siemens Corporation, Princeton, NJ 08540

pp. 1982-1989

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Efficient action spotting based on a spacetime oriented structure representation (Abstract)

Konstantinos G. Derpanis, Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada

Mikhail Sizintsev, Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada

Kevin Cannons, Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada

Richard P. Wildes, Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada

pp. 1990-1997

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Clustering dynamic textures with the hierarchical EM algorithm (Abstract)

Antoni B. Chan, Dept. of Computer Science, City University of Hong Kong

Emanuele Coviello, Dept. of Electrical and Computer Engineering, University of California, San Diego

Gert. R. G. Lanckriet, Dept. of Electrical and Computer Engineering, University of California, San Diego

pp. 2022-2029

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Group motion segmentation using a Spatio-Temporal Driving Force Model (Abstract)

Ruonan Li, Department of Electrical and Computer Engineering, and Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742

Rama Chellappa, Department of Electrical and Computer Engineering, and Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742

pp. 2038-2045

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Isoperimetric cut on a directed graph (Abstract)

Mo Chen, Department of Information Engineering, The Chinese University of Hong Kong

Ming Liu, Department of Information Engineering, The Chinese University of Hong Kong

Jianzhuang Liu, Department of Information Engineering, The Chinese University of Hong Kong

Xiaoou Tang, Department of Information Engineering, The Chinese University of Hong Kong

pp. 2109-2116

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Fast approximate energy minimization with label costs (Abstract)

Andrew Delong, Department of Computer Science, University of Western Ontario

Anton Osokin, Department of Computational Mathematics and Cybernetics, Moscow State University

Hossam N. Isack, Department of Computer Science, University of Western Ontario

Yuri Boykov, Department of Computer Science, University of Western Ontario

pp. 2173-2180

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Morphological snakes (Abstract)

Luis Alvarez, Dep. Informática y Sistemas, Universidad de las Palmas de Gran, Canaria

Luis Baumela, Dep. Inteligencia Artificial, Facultad Informática, Universidad Politécnica de Madrid

Pedro Henriquez, Dep. Informática y Sistemas, Universidad de las Palmas de Gran, Canaria

Pablo Marquez-Neila, Dep. Inteligencia Artificial, Facultad Informática, Universidad Politécnica de Madrid

pp. 2197-2202

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Multi-domain, higher order level set scheme for 3D image segmentation on the GPU (Abstract)

Ojaswa Sharma, DTU Informatics The Technical University of Denmark, Denmark

Qin Zhang, Computational Visualization Center The University of Texas at Austin, USA

Franccois Anton, DTU Informatics The Technical University of Denmark, Denmark

Chandrajit Bajaj, Computational Visualization Center The University of Texas at Austin, USA

pp. 2211-2216

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A study on continuous max-flow and min-cut approaches (Abstract)

Jing Yuan, Computer Science Department, University of Western Ontario, Middlesex College 240, University of Western Ontario, London, ON, Canada, N6A 5B7

Egil Bae, Department of Mathematics, University of Bergen, University of Bergen, Johaness Brunsgate 12, Bergen 5007, Norway

Xue-Cheng Tai, Department of Mathematics, University of Bergen, University of Bergen, Johaness Brunsgate 12, Bergen 5007, Norway

pp. 2217-2224

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Object recognition by discriminative combinations of line segments and ellipses (Abstract)

Alex Yong-Sang Chia, Institute for Infocomm Research, Singapore

Susanto Rahardja, Institute for Infocomm Research, Singapore

Deepu Rajan, School of Computer Engineering, Nanyang Technological University, Singapore

Maylor Karhang Leung, School of Computer Engineering, Nanyang Technological University, Singapore

pp. 2225-2232

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Dominant orientation templates for real-time detection of texture-less objects (Abstract)

Stefan Hinterstoisser, Department of Computer Science, CAMP, Technische Universita¨t Mu¨nchen (TUM), Germany

Vincent Lepetit, Ecole Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland

Slobodan Ilic, Department of Computer Science, CAMP, Technische Universita¨t Mu¨nchen (TUM), Germany

Pascal Fua, Ecole Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland

Nassir Navab, Department of Computer Science, CAMP, Technische Universita¨t Mu¨nchen (TUM), Germany

pp. 2257-2264

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The multiscale competitive code via sparse representation for palmprint verification (Abstract)

Wangmeng Zuo, Harbin Institute of Technology, Harbin, 150001, China

Zhouchen Lin, Microsoft Research Asia, Beijing, 100190, China

Zhenhua Guo, Hong Kong Polytechnic University, Kowloon, Hong Kong

David Zhang, Hong Kong Polytechnic University, Kowloon, Hong Kong

pp. 2265-2272

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Two perceptually motivated strategies for shape classification (Abstract)

Andrew Temlyakov, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Brent C. Munsell, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Jarrell W. Waggoner, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Song Wang, Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

pp. 2289-2296

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Probabilistic models for supervised dictionary learning (Abstract)

Xiao-Chen Lian, Department of Computer Science and Engineering, Shanghai Jiao Tong University, China

Zhiwei Li, MOE-MS Key Lab for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, China

Changhu Wang, Microsoft Research Asia

Bao-Liang Lu, Department of Computer Science and Engineering, Shanghai Jiao Tong University, China

Lei Zhang, Microsoft Research Asia

pp. 2305-2312

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Use bin-ratio information for category and scene classification (Abstract)

Nianhua Xie, National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China

Haibin Ling, Dept. of Computer and Information Science, Temple University, Philadelphia, USA

Weiming Hu, National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China

Xiaoqin Zhang, National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China

pp. 2313-2319

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Global Gaussian approach for scene categorization using information geometry (Abstract)

Hideki Nakayama, Grad. School of Information Science and Technology, The University of Tokyo

Tatsuya Harada, Grad. School of Information Science and Technology, The University of Tokyo

Yasuo Kuniyoshi, Grad. School of Information Science and Technology, The University of Tokyo

pp. 2336-2343

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PURCHASE ARTICLE: $19

Person re-identification by symmetry-driven accumulation of local features (Abstract)

M. Farenzena, Dipartimento di Informatica, University of Verona, Italy

L. Bazzani, Dipartimento di Informatica, University of Verona, Italy

A. Perina, Dipartimento di Informatica, University of Verona, Italy

V. Murino, Dipartimento di Informatica, University of Verona, Italy

M. Cristani, Dipartimento di Informatica, University of Verona, Italy

pp. 2360-2367

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PURCHASE ARTICLE: $19

Generating sharp panoramas from motion-blurred videos (Abstract)

Yunpeng Li, Cornell University, Ithaca, NY 14853, USA

Sing Bing Kang, Microsoft Research, Redmond, WA 98052, USA

Neel Joshi, Microsoft Research, Redmond, WA 98052, USA

Steve M. Seitz, University of Washington, Seattle, WA 98195, USA

Daniel P. Huttenlocher, Cornell University, Ithaca, NY 14853, USA

pp. 2424-2431

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Recovering fluid-type motions using Navier-Stokes potential flow (Abstract)

Feng Li, Department of Computer and Information Sciences, University of Delaware, Newark, DE19716, USA

Liwei Xu, Department of Mathematical Sciences, University of Delaware, Newark, DE19716, USA

Philippe Guyenne, Department of Mathematical Sciences, University of Delaware, Newark, DE19716, USA

Jingyi Yu, Department of Computer and Information Sciences, University of Delaware, Newark, DE19716, USA

pp. 2448-2455

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Boundary Learning by Optimization with Topological Constraints (Abstract)

Viren Jain, Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

Benjamin Bollmann, Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

Mark Richardson, Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

Daniel R. Berger, Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

Moritz N. Helmstaedter, Department of Biomedical Optics, Max Planck Institute for Medical Research, Heidelberg, Germany

Kevin L. Briggman, Department of Biomedical Optics, Max Planck Institute for Medical Research, Heidelberg, Germany

Winfried Denk, Department of Biomedical Optics, Max Planck Institute for Medical Research, Heidelberg, Germany

Jared B. Bowden, Center for Learning and Memory, Department of Neurobiology, University of Texas at Austin, TX, USA

John M. Mendenhall, Center for Learning and Memory, Department of Neurobiology, University of Texas at Austin, TX, USA

Wickliffe C. Abraham, Dept. of Psychology and Brain Health and Repair Research Center, Univ. of Otago, Dunedin, New Zealand

Kristen M. Harris, Center for Learning and Memory, Department of Neurobiology, University of Texas at Austin, TX, USA

Narayanan Kasthuri, Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA

Ken J. Hayworth, Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA

Richard Schalek, Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA

Juan Carlos Tapia, Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA

Jeff W. Lichtman, Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA

H. Sebastian Seung, Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

pp. 2488-2495

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Optical flow estimation with adaptive convolution kernel prior on discrete framework (Abstract)

Kyong Joon Lee, School of EECS, Seoul Nat'l Univ., Seoul, 151-742, Korea

Dongjin Kwon, School of EECS, Seoul Nat'l Univ., Seoul, 151-742, Korea

Il Dong Yun, School of EIE, Hankuk Univ. of F. S., Yongin, 449-791, Korea

Sang Uk Lee, School of EECS, Seoul Nat'l Univ., Seoul, 151-742, Korea

pp. 2504-2511

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Deconvolutional networks (Abstract)

Matthew D. Zeiler, Dept. of Computer Science, Courant Institute, New York University

Dilip Krishnan, Dept. of Computer Science, Courant Institute, New York University

Graham W. Taylor, Dept. of Computer Science, Courant Institute, New York University

Rob Fergus, Dept. of Computer Science, Courant Institute, New York University

pp. 2528-2535

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Removal of 3D facial expressions: A learning-based approach (Abstract)

Gang Pan, Department of Computer Science, Zhejiang University, China

Song Han, Department of Computer Science, Zhejiang University, China

Zhaohui Wu, Department of Computer Science, Zhejiang University, China

Yuting Zhang, Department of Computer Science, Zhejiang University, China

pp. 2614-2621

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Learning shift-invariant sparse representation of actions (Abstract)

Yi Li, Computer Vision Lab University of Maryland, College Park, MD 20742

Cornelia Fermuller, Computer Vision Lab University of Maryland, College Park, MD 20742

Yiannis Aloimonos, Computer Vision Lab University of Maryland, College Park, MD 20742

Hui Ji, Department of Mathematics, National University of Singapore

pp. 2630-2637

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Exploring facial expressions with compositional features (Abstract)

Peng Yang, Computer Science Department, Rutgers University 110 Frelinghuysen Road, Piscataway, NJ 08854, USA

Qingshan Liu, Computer Science Department, Rutgers University 110 Frelinghuysen Road, Piscataway, NJ 08854, USA

Dimitris N. Metaxas, Computer Science Department, Rutgers University 110 Frelinghuysen Road, Piscataway, NJ 08854, USA

pp. 2638-2644

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A novel Markov random field based deformable model for face recognition (Abstract)

Shu Liao, Lo Kwee-Seong Medical Image Analysis Laboratory, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong

Albert C.S. Chung, Lo Kwee-Seong Medical Image Analysis Laboratory, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong

pp. 2675-2682

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Adaptive generic learning for face recognition from a single sample per person (Abstract)

Yu Su, School of Computer Science and Technology, Harbin Institute of Technology, China

Shiguang Shan, Digital Media Research Center, Institute of Computing Technology, CAS, China

Xilin Chen, Digital Media Research Center, Institute of Computing Technology, CAS, China

Wen Gao, School of Computer Science and Technology, Harbin Institute of Technology, China

pp. 2699-2706

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Automatic point-based facial trait judgments evaluation (Abstract)

Mario Rojas Q., Computer Vision Center, Edifici O, Campus UAB, Spain

David Masip, Computer Vision Center, Edifici O, Campus UAB, Spain

Alexander Todorov, Department of Psychology, Princeton University, Princeton, New Jersey, USA 08540

Jordi Vitria, Computer Vision Center, Edifici O, Campus UAB, Spain

pp. 2715-2720

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Bidirectional relighting for 3D-aided 2D face recognition (Abstract)

G. Toderici, Computational Biomedicine Lab, Dept. of CS, ECE, Biomedical Engineering, Univ. of Houston, Houston, TX, USA

G. Passalis, Computational Biomedicine Lab, Dept. of CS, ECE, Biomedical Engineering, Univ. of Houston, Houston, TX, USA

S. Zafeiriou, Department of Electrical and Electronic Engineering, Imperial College London, UK

G. Tzimiropoulos, Department of Electrical and Electronic Engineering, Imperial College London, UK

M. Petrou, ITI-CERTH, Greece

T. Theoharis, Computational Biomedicine Lab, Dept. of CS, ECE, Biomedical Engineering, Univ. of Houston, Houston, TX, USA

I. A. Kakadiaris, Computational Biomedicine Lab, Dept. of CS, ECE, Biomedical Engineering, Univ. of Houston, Houston, TX, USA

pp. 2721-2728

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Gesture recognition by learning local motion signatures (Abstract)

Mohamed Becha Kaaniche, INRIA Sophia Antipolis - Mediterranean Research Center - PULSAR Project, 2004 route des Lucioles B.P 93, 06902 Sophia Antipolis Cedex, France

Francois Bremond, INRIA Sophia Antipolis - Mediterranean Research Center - PULSAR Project, 2004 route des Lucioles B.P 93, 06902 Sophia Antipolis Cedex, France

pp. 2745-2752

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Stratified learning of local anatomical context for lung nodules in CT images (Abstract)

Dijia Wu, CAD and Knowledge Solutions, Siemens Medical Solutions, Malvern, PA 19355 USA

Le Lu, CAD and Knowledge Solutions, Siemens Medical Solutions, Malvern, PA 19355 USA

Jinbo Bi, CAD and Knowledge Solutions, Siemens Medical Solutions, Malvern, PA 19355 USA

Yoshihisa Shinagawa, CAD and Knowledge Solutions, Siemens Medical Solutions, Malvern, PA 19355 USA

Kim Boyer, ECSE Department, Rensselaer Polytechnic Institute, Troy, NY 12180 USA

Arun Krishnan, CAD and Knowledge Solutions, Siemens Medical Solutions, Malvern, PA 19355 USA

Marcos Salganicoff, CAD and Knowledge Solutions, Siemens Medical Solutions, Malvern, PA 19355 USA

pp. 2791-2798

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Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures (Abstract)

Gustavo Carneiro, Instituto de Sistemas e Robótica Instituto Superior Técnico, Lisbon, Portugal

Jacinto C. Nascimento, Instituto de Sistemas e Robótica Instituto Superior Técnico, Lisbon, Portugal

pp. 2815-2822

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Search strategies for multiple landmark detection by submodular maximization (Abstract)

David Liu, Siemens Corporation, Corporate Research, Princeton, NJ, USA, Siemens AG, Sector Healthcare, Computed Tomography, Forchheim, Germany

Kevin S. Zhou, Siemens Corporation, Corporate Research, Princeton, NJ, USA, Siemens AG, Sector Healthcare, Computed Tomography, Forchheim, Germany

Dominik Bernhardt, Siemens Corporation, Corporate Research, Princeton, NJ, USA, Siemens AG, Sector Healthcare, Computed Tomography, Forchheim, Germany

Dorin Comaniciu, Siemens Corporation, Corporate Research, Princeton, NJ, USA, Siemens AG, Sector Healthcare, Computed Tomography, Forchheim, Germany

pp. 2831-2838

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Compression of surface registrations using Beltrami coefficients (Abstract)

Lok Ming Lui, Department of Mathematics, Harvard University, Cambridge, MA, USA

Tsz Wai Wong, Department of Mathematics, UCLA, Los Angeles, CA, USA

Paul Thompson, Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA

Tony Chan, Hong Kong University of Science and Technology, Hong Kong

Xianfeng Gu, Department of Computer Science, SUNY Stony Brook, Stony Brook, NY, USA

Shing-Tung Yau, Department of Mathematics, Harvard University, Cambridge, MA, USA

pp. 2839-2846

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Anatomical parts-based regression using non-negative matrix factorization (Abstract)

Swapna Joshi, Department of Electrical and Computer Engineering, University of California Santa Barbara

S. Karthikeyan, Department of Electrical and Computer Engineering, University of California Santa Barbara

B. S. Manjunath, Department of Electrical and Computer Engineering, University of California Santa Barbara

Scott Grafton, Department of Psychology, University of California Santa Barbara

Kent A. Kiehl, Department Psychology, University of New Mexico

pp. 2863-2870

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Metric-induced optimal embedding for intrinsic 3D shape analysis (Abstract)

Rongjie Lai, Department of Mathematics, University of California, Los Angeles, CA, USA

Yonggang Shi, Lab. of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA

Kevin Scheibel, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA

Scott Fears, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA

Roger Woods, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA

Arthur W. Toga, Lab. of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA

Tony F. Chan, Department of Mathematics, University of California, Los Angeles, CA, USA

pp. 2871-2878

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Simultaneous searching of globally optimal interacting surfaces with shape priors (Abstract)

Qi Song, Department of Electrical and Computer Engineering The University of Iowa, Iowa City, IA 52242, USA

Xiaodong Wu, Department of Electrical and Computer Engineering The University of Iowa, Iowa City, IA 52242, USA

Yunlong Liu, Department of Electrical and Computer Engineering The University of Iowa, Iowa City, IA 52242, USA

Milan Sonka, Department of Electrical and Computer Engineering The University of Iowa, Iowa City, IA 52242, USA

Mona Garvin, Department of Electrical and Computer Engineering The University of Iowa, Iowa City, IA 52242, USA

pp. 2879-2886

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Lymph node detection in 3-D chest CT using a spatial prior probability (Abstract)

Johannes Feulner, Pattern Recognition Lab, University of Erlangen-Nuremberg, Germany

S. Kevin Zhou, Siemens Corporate Research, Princeton, NJ, USA

Martin Huber, Siemens Corporate Technology, Erlangen, Germany

Joachim Hornegger, Pattern Recognition Lab, University of Erlangen-Nuremberg, Germany

Dorin Comaniciu, Siemens Corporate Research, Princeton, NJ, USA

Alexander Cavallaro, Radiology Institute, University Hospital Erlangen, Germany

pp. 2926-2932

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Image atlas construction via intrinsic averaging on the manifold of images (Abstract)

Yuchen Xie, Department of Computer and Information Sciences and Engineering, University of Florida

Jeffrey Ho, Department of Computer and Information Sciences and Engineering, University of Florida

Baba C. Vemuri, Department of Computer and Information Sciences and Engineering, University of Florida

pp. 2933-2939

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Model-based respiratory motion compensation for image-guided cardiac interventions (Abstract)

Matthias Schneider, Pattern Recognition Lab, University of Erlangen-Nuremberg, Erlangen, Germany

Hari Sundar, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA

Rui Liao, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA

Joachim Hornegger, Pattern Recognition Lab, University of Erlangen-Nuremberg, Erlangen, Germany

Chenyang Xu, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA

pp. 2948-2954

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ARISTA - image search to annotation on billions of web photos (Abstract)

Xin-Jing Wang, Microsoft Research Asia, 49 Zhichun Road, Beijing, China

Lei Zhang, Microsoft Research Asia, 49 Zhichun Road, Beijing, China

Ming Liu, Microsoft Corporation, One Microsoft Way, Redmond, U.S.A.

Yi Li, Microsoft Corporation, One Microsoft Way, Redmond, U.S.A.

Wei-Ying Ma, Microsoft Research Asia, 49 Zhichun Road, Beijing, China

pp. 2987-2994

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