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Displaying 1-24 out of 24 total
In Memoriam: Mark Everingham
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Andrew Zisserman,John Winn,Andrew Fitzgibbon,Luc Van Gool,Josef Sivic,Chris Williams,David Hogg
Issue Date:November 2012
pp. 2081-2082
Recounts the career and contributions pf Mark Everingham.
 
C-Slate: A Multi-Touch and Object Recognition System for Remote Collaboration using Horizontal Surfaces
Found in: Horizontal Interactive Human-Computer Systems, International Workshop on
By Shahram Izadi, Ankur Agarwal, Antonio Criminisi, John Winn, Andrew Blake, Andrew Fitzgibbon
Issue Date:October 2007
pp. 3-10
We introduce C-Slate, a new vision-based system, which utilizes stereo cameras above a commercially available tablet technology to support remote collaboration. The horizontally mounted tablet provides the user with high resolution stylus input, which is a...
 
Efficient Human Pose Estimation from Single Depth Images
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jamie Shotton,Ross Girshick,Andrew Fitzgibbon,Toby Sharp,Mat Cook,Mark Finocchio,Richard Moore,Pushmeet Kohli,Antonio Criminisi,Alex Kipman,Andrew Blake
Issue Date:December 2013
pp. 2821-2840
We describe two new approaches to human pose estimation. Both can quickly and accurately predict the 3D positions of body joints from a single depth image without using any temporal information. The key to both approaches is the use of a large, realistic, ...
 
KinectFusion: Real-time dense surface mapping and tracking
Found in: 2011 IEEE International Symposium on Mixed and Augmented Reality
By Richard A. Newcombe,Shahram Izadi,Otmar Hilliges,David Molyneaux,David Kim,Andrew J. Davison,Pushmeet Kohi,Jamie Shotton,Steve Hodges,Andrew Fitzgibbon
Issue Date:October 2011
pp. 127-136
We present a system for accurate real-time mapping of complex and arbitrary indoor scenes in variable lighting conditions, using only a moving low-cost depth camera and commodity graphics hardware. We fuse all of the depth data streamed from a Kinect senso...
 
Finding nemo: Deformable object class modelling using curve matching
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Mukta Prasad, Andrew Fitzgibbon, Andrew Zisserman, Luc Van Gool
Issue Date:June 2010
pp. 1720-1727
An image search for “clownfish” yields many photos of clownfish, each of a different individual of a different 3D shape in a different pose. Yet, to the human observer, this set of images contains enough information to infer the underlying 3D deformable ob...
 
Reconstructing High Quality Face-Surfaces using Model Based Stereo
Found in: Computer Vision, IEEE International Conference on
By Brian Amberg, Andrew Blake, Andrew Fitzgibbon, Sami Romdhani, Thomas Vetter
Issue Date:October 2007
pp. 1-8
We present a novel model based stereo system, which accurately extracts the 3D shape and pose of faces from multiple images taken simultaneously. Extracting the 3D shape from images is important in areas such as pose-invariant face recognition and image ma...
 
VHS to VRML: 3D Graphical Models from Video Sequences
Found in: Multimedia Computing and Systems, International Conference on
By Andrew Zisserman, Andrew Fitzgibbon, Geoff Cross
Issue Date:June 1999
pp. 9051
We describe a method to completely automatically recover 3D scene structure together with a camera for each frame from a sequence of images acquired by an unknown camera undergoing unknown movement. Previous approaches have used calibration objects or land...
 
Single View Reconstruction of Curved Surfaces
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Mukta Prasad, Andrew Fitzgibbon
Issue Date:June 2006
pp. 1345-1354
Recent advances in single-view reconstruction (SVR) have been in modelling power (curved 2.5D surfaces) and automation (automatic photo pop-up). We extend SVR along both of these directions. We increase modelling power in several ways: (i) We represent gen...
 
Image-based rendering using image-based priors
Found in: Computer Vision, IEEE International Conference on
By Andrew Fitzgibbon, Yonatan Wexler, Andrew Zisserman
Issue Date:October 2003
pp. 1176
Given a set of images acquired from known viewpoints, we describe a method for synthesizing the image which would be seen from a new viewpoint. In contrast to existing techniques, which explicity reconstruct the 3D geometry of the scene, we transform the p...
 
Kinectrack: 3D Pose Estimation Using a Projected Dense Dot Pattern
Found in: IEEE Transactions on Visualization and Computer Graphics
By Paul McIlroy,Shahram Izadi,Andrew Fitzgibbon
Issue Date:June 2014
pp. 839-851
Kinectrack is a novel approach to six-DoF tracking that provides agile real-time pose estimation using only commodity hardware. The dot pattern emitter and IR camera components of the standard Kinect device are separated to allow the emitter to roam freely...
 
Kinectrack: Agile 6-DoF tracking using a projected dot pattern
Found in: 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
By Paul McIlroy,Shahram Izadi,Andrew Fitzgibbon
Issue Date:November 2012
pp. 23-29
We present Kinectrack, a new six degree-of-freedom (6-DoF) tracker which allows real-time and low-cost pose estimation using only commodity hardware. We decouple the dot pattern emitter and IR camera of the Kinect. Keeping the camera fixed and moving the I...
 
Efficient regression of general-activity human poses from depth images
Found in: Computer Vision, IEEE International Conference on
By Ross Girshick,Jamie Shotton,Pushmeet Kohli,Antonio Criminisi,Andrew Fitzgibbon
Issue Date:November 2011
pp. 415-422
We present a new approach to general-activity human pose estimation from depth images, building on Hough forests. We extend existing techniques in several ways: real time prediction of multiple 3D joints, explicit learning of voting weights, vote compressi...
 
Global Stereo Reconstruction under Second-Order Smoothness Priors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Oliver Woodford, Philip Torr, Ian Reid, Andrew Fitzgibbon
Issue Date:December 2009
pp. 2115-2128
Second-order priors on the smoothness of 3D surfaces are a better model of typical scenes than first-order priors. However, stereo reconstruction using global inference algorithms, such as graph cuts, has not been able to incorporate second-order priors be...
 
Combining local and global motion models for feature point tracking
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Aeron Buchanan, Andrew Fitzgibbon
Issue Date:June 2007
pp. 1-8
Accurate feature point tracks through long sequences are a valuable substrate for many computer vision applications, e.g. non-rigid body tracking, video segmentation, video matching, and even object recognition. Existing algorithms may be arranged along an...
 
Learning Spatiotemporal T-Junctions for Occlusion Detection
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Nicholas Apostoloff, Andrew Fitzgibbon
Issue Date:June 2005
pp. 553-559
<p>The goal of motion segmentation and layer extraction can be viewed as the detection and localization of occluding surfaces. A feature that has been shown to be a particularly strong indicator of occlusion, in both computer vision and neuroscience,...
 
Bayesian Video Matting Using Learnt Image Priors
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Nicholas Apostoloff, Andrew Fitzgibbon
Issue Date:July 2004
pp. 407-414
<p>Video matting, or layer extraction, is a classic inverse problem in computer vision that involves the extraction of foreground objects, and the alpha mattes that describe their opacity, from a set of images. Modern approaches that work with natura...
 
Direct Least Square Fitting of Ellipses
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Andrew Fitzgibbon, Maurizio Pilu, Robert B. Fisher
Issue Date:May 1999
pp. 476-480
<p><b>Abstract</b>—This work presents a new efficient method for fitting ellipses to scattered data. Previous algorithms either fitted general conics or were computationally expensive. By minimizing the algebraic distance subject to the c...
 
What Can Pictures Tell Us About Web Pages? Improving Document Search using Images
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Sergio Rodriguez-Vaamonde,Lorenzo Torresani,Andrew Fitzgibbon
Issue Date:February 2015
pp. 1
Traditional Web search engines do not use the images in the HTML pages to find relevant documents for a given query. Instead, they typically operate by computing a measure of agreement between the keywords provided by the user and only the text portion of ...
 
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Jamie Shotton,Ben Glocker,Christopher Zach,Shahram Izadi,Antonio Criminisi,Andrew Fitzgibbon
Issue Date:June 2013
pp. 2930-2937
We address the problem of inferring the pose of an RGB-D camera relative to a known 3D scene, given only a single acquired image. Our approach employs a regression forest that is capable of inferring an estimate of each pixel's correspondence to 3D points ...
 
Real-time human pose recognition in parts from single depth images
Found in: Communications of the ACM
By Alex Kipman, Andrew Blake, Andrew Fitzgibbon, Jamie Shotton, Mark Finocchio, Mat Cook, Richard Moore, Toby Sharp
Issue Date:January 2013
pp. 116-124
We propose a new method to quickly and accurately predict human pose---the 3D positions of body joints---from a single depth image, without depending on information from preceding frames. Our approach is strongly rooted in current object recognition strate...
     
What can pictures tell us about web pages?: improving document search using images
Found in: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR '13)
By Andrew Fitzgibbon, Lorenzo Torresani, Sergio Rodriguez-Vaamonde
Issue Date:July 2013
pp. 849-852
Traditional Web search engines do not use the images in the HTML pages to find relevant documents for a given query. Instead, they typically operate by computing a measure of agreement between the keywords provided by the user and only the text portion of ...
     
KinÊtre: animating the world with the human body
Found in: Proceedings of the 25th annual ACM symposium on User interface software and technology (UIST '12)
By Andrew Fitzgibbon, Jiawen Chen, Shahram Izadi
Issue Date:October 2012
pp. 435-444
KinÊtre allows novice users to scan arbitrary physical objects and bring them to life in seconds. The fully interactive system allows diverse static meshes to be animated using the entire human body. Traditionally, the process of mesh animation is lab...
     
KinÊtre: animating the world with the human body
Found in: ACM SIGGRAPH 2012 Talks (SIGGRAPH '12)
By Andrew Fitzgibbon, Jiawen Chen, Shahram Izadi
Issue Date:August 2012
pp. 1-1
Imagine you are asked to produce a 3D animation of a demonic armchair terrorizing an innocent desk lamp. You may think about model rigging, skeleton deformation, and keyframing. Depending on your experience, you might imagine hours to days at the controls ...
     
Unwrap mosaics: a new representation for video editing
Found in: ACM Transactions on Graphics (TOG)
By Alex Rav-Acha, Andrew Fitzgibbon, Carsten Rother, Pushmeet Kohli
Issue Date:August 2008
pp. 1-49
We introduce a new representation for video which facilitates a number of common editing tasks. The representation has some of the power of a full reconstruction of 3D surface models from video, but is designed to be easy to recover from a priori unseen an...
     
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