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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"
8947 条 记 录,以下是4751-4760 订阅
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Nonlinear mean shift for clustering over analytic manifolds
Nonlinear mean shift for clustering over analytic manifolds
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Subbarao, Raghav Meer, Peter Department of Electrical and Computer Engineering Rutgers University Piscataway NJ 08854 United States
The mean shift algorithm is widely applied for nonparametric clustering in Euclidean spaces. Recently, mean shift was generalized for clustering on matrix Lie groups. We further extend the algorithm to a more general ... 详细信息
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Surface geometric constraints for stereo in belief propagation
Surface geometric constraints for stereo in belief propagati...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Li, Gang Zucker, Steven W. Department of Computer Science Yale University
Belief propagation has been shown to be a powerful inference mechanism for stereo correspondence. However the classical formulation of belief propagation implicitly imposes the frontal parallel plane assumption in the... 详细信息
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Local steerable phase (LSP) feature for face representation and recognition
Local steerable phase (LSP) feature for face representation ...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Zhang, Xiaoxun Jia, Yunde Department of Computer Science and Engineering Beijing Institute of Technology Beijing 100081 China
In this paper, we propose a novel local steerable phase (LSP) feature extracted from the face image using steerable filter for face representation and recognition. Steerable filter is a kind of oriented filters. It is... 详细信息
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Conditional random people: Tracking humans with CRFs and grid filters
Conditional random people: Tracking humans with CRFs and gri...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Taycher, Leonid Shakhnarovich, Gregory Demirdjian, David Darrell, Trevor Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA 02139 Department of Computer Science Brown University Providence RI 02912
We describe a state-space tracking approach based on a Conditional Random Field (CRF) model, where the observation potentials are learned from data. We find functions that embed both state and observation into a space... 详细信息
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A comparison and evaluation of multi-view stereo reconstruction algorithms
A comparison and evaluation of multi-view stereo reconstruct...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Seitz, Steven M. Curless, Brian Diebel, James Scharstein, Daniel Szeliski, Richard University of Washington Stanford University Middlebury College Microsoft Research
This paper presents a quantitative comparison of several multi-view stereo reconstruction algorithms. Until now, the lack of suitable calibrated multi-view image datasets with known ground truth (3D shape models) has ... 详细信息
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Visible surface reconstruction from normals with discontinuity consideration
Visible surface reconstruction from normals with discontinui...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Wu, Tai-Pang Tang, Chi-Keung Vision and Graphics Group Hong Kong University of Science and Technology Clear Water Bay Hong Kong Hong Kong
Given a dense set of imperfect normals obtained by photometric stereo or shape from shading, this paper presents an optimization algorithm which alternately optimizes until convergence the surface integrabilities and ... 详细信息
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Tree trunks as landmarks for outdoor vision SLAM
Tree trunks as landmarks for outdoor vision SLAM
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2006 conference on computer vision and pattern recognition workshops
作者: Asmar, Daniel C. Zelek, John S. Abdallah, Samer M. Systems Design Engineering University of Waterloo Waterloo Ont. Canada Mechanical Engineering Dept. American University of Beirut Beirut Lebanon
Simultaneous Localization and Mapping (SLAM) of robots is the process of building a map of the robot milieu, while simultaneously localizing the robot inside that map. Cameras have been recently proposed, as a replace... 详细信息
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Perception strategies in hierarchical vision systems
Perception strategies in hierarchical vision systems
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Wolf, Lior Bileschi, Stan Meyers, Ethan Center for Biological and Computational Learning McGovern Institute for Brain Research Massachusetts Institute of Technology Cambridge MA
Flat appearance-based systems, which combine clever image representations with standard classifiers, might be the most effective way to recognize objects using current technologies. In the future, however, it seems pr... 详细信息
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Learning non-metric partial similarity based on maximal margin criterion
Learning non-metric partial similarity based on maximal marg...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Tan, Xiaoyang Chen, Songcan Zhou, Zhi-Hua Liu, Jun Department of Computer Science and Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China National Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works usually utilize metric distances which... 详细信息
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A novel data association algorithm for object tracking in clutter with application to tennis video analysis
A novel data association algorithm for object tracking in cl...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Yan, Fei Kostin, Alexey Christmas, William Kittler, Josef Centre for Vision Speech and Signal Processing University of Surrey Guildford Surrey GU2 7XH United Kingdom
It is well recognised that data association is critically important for object tracking. However, in the presence of successive misdetections, a large number of false candidates and an unknown number of abrupt model s... 详细信息
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