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Displaying 1-21 out of 21 total
Face Recognition in the Thermal Infrared Spectrum
Found in: Computer Vision and Pattern Recognition Workshop
By Pradeep Buddharaju, Ioannis Pavlidis, Ioannis Kakadiaris
Issue Date:July 2004
pp. 133
We present a two-stage face recognition method based on infrared imaging and statistical modeling. In the first stage we reduce the search space by finding highly likely candidates before arriving at a singular conclusion during the second stage. Previous ...
 
Markov Random Field-based fitting of a subdivision-based geometric atlas
Found in: Computer Vision, IEEE International Conference on
By Uday Kurkure,Yen H. Le,Nikos Paragios,Tao Ju,James P. Carson,Ioannis A. Kakadiaris
Issue Date:November 2011
pp. 2540-2547
An accurate labeling of a multi-part, complex anatomical structure (e.g., brain) is required in order to compare data across images for spatial analysis. It can be achieved by fitting an object-specific geometric atlas that is constructed using a partition...
 
Pupil detection under lighting and pose variations in the visible and active infrared bands
Found in: Information Forensics and Security, IEEE International Workshop on
By Thirimachos Bourlai,Cameron Whitelam,Ioannis Kakadiaris
Issue Date:December 2011
pp. 1-6
We propose a novel and efficient methodology for the detection of human pupils using face images acquired under controlled and difficult (large pose and illumination changes) conditions in variable spectra (i.e., visible, multi-spectral, and short wave inf...
 
Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors
Found in: Computer Vision, IEEE International Conference on
By Chaohui Wang, Yun Zeng,Loic Simon,Ioannis Kakadiaris,Dimitris Samaras,Nikos Paragios
Issue Date:November 2011
pp. 319-326
In this paper, we propose a novel one-shot optimization approach to simultaneously determine both the optimal 3D landmark model and the corresponding 2D projections without explicit estimation of the camera viewpoint, which is also able to deal with misdet...
 
Improved face recognition using super-resolution
Found in: Biometrics, International Joint Conference on
By Emil Bilgazyev,Boris Efraty,Shishir K. Shah,Ioannis A. Kakadiaris
Issue Date:October 2011
pp. 1-7
Face recognition is a challenging task, especially when low-resolution images or image sequences are used. A decrease in image resolution typically results in loss of facial component details leading to a decrease in recognition rates. In this paper, we pr...
 
Twins 3D face recognition challenge
Found in: Biometrics, International Joint Conference on
By Vipin Vijayan,Kevin W. Bowyer,Patrick J. Flynn,Di Huang,Liming Chen,Mark Hansen,Omar Ocegueda,Shishir K. Shah,Ioannis A. Kakadiaris
Issue Date:October 2011
pp. 1-7
Existing 3D face recognition algorithms have achieved high enough performances against public datasets like FRGC v2, that it is difficult to achieve further significant increases in recognition performance. However, the 3D TEC dataset is a more challenging...
 
UR3D-C: Linear dimensionality reduction for efficient 3D face recognition
Found in: Biometrics, International Joint Conference on
By Omar Ocegueda,Georgios Passalis,Theoharis Theoharis,Shishir K. Shah,Ioannis A. Kakadiaris
Issue Date:October 2011
pp. 1-6
We present a novel approach for computing a compact and highly discriminant biometric signature for 3D face recognition using linear dimensionality reduction techniques. Initially, a geometry-image representation is used to effectively resample the raw 3D ...
 
A probabilistic segmentation method for the identification of luminal borders in intravascular ultrasound images
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Gerardo Mendizabal-Ruiz, Mariano Rivera, Ioannis A. Kakadiaris
Issue Date:June 2008
pp. 1-8
Intravascular ultrasound (IVUS) is a catheter-based medical imaging technique that produces cross-sectional images of blood vessels and is particularly useful for studying atherosclerosis. In this paper, we present a probabilistic approach for the semi-aut...
 
Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ioannis A. Kakadiaris, Georgios Passalis, George Toderici, Mohammed N. Murtuza, Yunliang Lu, Nikos Karampatziakis, Theoharis Theoharis
Issue Date:April 2007
pp. 640-649
In this paper, we present the computational tools and a hardware prototype for 3D face recognition. Full automation is provided through the use of advanced multistage alignment algorithms, resilience to facial expressions by employing a deformable model fr...
 
Data Mining in situ Gene Expression Patterns at Cellular Resolution
Found in: 2005 IEEE Computational Systems Bioinformatics Conference - Workshops
By James Carson, Christina Thaller, Musodiq Bello, Wah Chiu, Tao Ju, Joe Warren, Ioannis Kakadiaris, Gregor Eichele
Issue Date:August 2005
pp. 141-142
<p>In the post-genomic era, large-scale efforts have begun to characterize the role of gene products. Several of these efforts aim to systematically discover the activity of all 20,000 genes throughout functionally complex tissue specimens such as em...
 
Automatic Segmentation of Abdominal Fat from CT Data
Found in: Applications of Computer Vision and the IEEE Workshop on Motion and Video Computing, IEEE Workshop on
By Amol Pednekar, Alok N. Bandekar, Ioannis A. Kakadiaris, Morteza Naghavi
Issue Date:January 2005
pp. 308-315
Abdominal visceral fat accumulation is one of the most important cardiovascular risk factors. Currently, Computed Tomography and Magnetic Resonance images are manually segmented to quantify abdominal fat distribution. The manual delineation of subcutaneous...
 
Towards Automatic Analysis of DNA Microarrays
Found in: Applications of Computer Vision, IEEE Workshop on
By Christian Uehara, Ioannis Kakadiaris
Issue Date:December 2002
pp. 57
In this paper, we present a computational framework that provides the automatic analysis of spotted DNA microarray image data. The challenges are in providing an accurate representation of microarray hybridization observations while minimizing user interac...
 
Elastically Adaptive Deformable Models
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Dimitris N. Metaxas, Ioannis A. Kakadiaris
Issue Date:October 2002
pp. 1310-1321
<p><b>Abstract</b>—We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The novelty of the technique is that the model's e...
 
Model-Based Estimation of 3D Human Motion
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ioannis Kakadiaris, Dimitris Metaxas
Issue Date:December 2000
pp. 1453-1459
<p><b>Abstract</b>—This paper presents the formulations and techniques that we have developed for the three-dimensional, model-based, motion estimation of human movement from multiple cameras. Our method is based on the spatio-temporal an...
 
Estimating Anthropometry and Pose from a Single Image
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Carlos Barron, Ioannis A. Kakadiaris
Issue Date:June 2000
pp. 1669
In this paper, we present a four-step technique for simultaneously estimating a human's anthropometric measurements (up to a scale parameter) and pose from a single image. The user initially selects a set of image points that constitute the projection of s...
 
Understanding Diagrams in Technical Documents
Found in: Computer
By Robert P. Futrelle, Ioannis A. Kakadiaris, Jeff Alexander, Catherine M. Carriero, Niko Nikolakis, Joseph M. Futrelle
Issue Date:July 1992
pp. 75-78
<p>The development of a knowledge base of biological research papers that supports the Scientist's Assistant, an intelligent system that will provide a scientist with interactive access to the research results, methods, and reasoning in a collection ...
 
PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Yen H. Le,Uday Kurkure,Ioannis A. Kakadiaris
Issue Date:June 2013
pp. 1878-1885
Statistical shape models, such as Active Shape Models (ASMs), suffer from their inability to represent a large range of variations of a complex shape and to account for the large errors in detection of model points. We propose a novel method (dubbed PDM-EN...
 
3D face recognition for partial data using Semi-Coupled Dictionary Learning
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Dat Chu,Shishir K. Shah,Ioannis A. Kakadiaris
Issue Date:April 2013
pp. 1-8
3D face recognition for partial data is a very challenging task. The task is even more challenging when the gallery sample originates from one side of the face while the probe sample originates from the other. We present a new method for computing the simi...
   
Benchmarking asymmetric 3D-2D face recognition systems
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Xi Zhao,Wuming Zhang,Georgios Evangelopoulos,Di Huang,Shishir K. Shah,Yunhong Wang,Ioannis A. Kakadiaris,Liming Chen
Issue Date:April 2013
pp. 1-8
Asymmetric 3D-2D face recognition (FR) aims to recognize individuals from 2D face images using textured 3D face models in the gallery (or vice versa). This new FR scenario has the potential to be readily deployable in field applications while still keeping...
   
Illumination alignment using lighting ratio: Application to 3D-2D face recognition
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Xi Zhao,Shishir K. Shah,Ioannis A. Kakadiaris
Issue Date:April 2013
pp. 1-6
Illumination alignment is accomplished by relighting or unlighting methods that compensate the appearance differences due to variations in illumination conditions between a pair of face images or among a set of face images. In this paper, we propose a ligh...
   
Passive 3D human motion capture
Found in: ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97 (SIGGRAPH '97)
By Dimitris Metaxas, Ioannis A. Kakadiaris
Issue Date:August 1997
pp. 223
This paper describes a physically-based rendering system tailored to the demands of lighting design and architecture. The simulation uses a light-backwards ray-tracing method with extensions to efficiently solve the rendering equation under most conditions...
     
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