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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4811-4820 订阅
排序:
Recursive recovery of position and orientation from stereo image sequences without three-dimensional structures
Recursive recovery of position and orientation from stereo i...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Yu, Ying Kin Wong, Kin Hong Or, Siu Hang Chang, Michael Ming Yuen Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Hong Kong Department of Information Engineering Chinese University of Hong Kong Hong Kong Hong Kong
Traditional vision-based 3-D motion estimation algorithms for robots require given or calculated 3-D models while the motion is being tracked. We propose a high-speed extended-Kalman-filter-based approach that recover... 详细信息
来源: 评论
Estimating intrinsic component images using non-linear regression
Estimating intrinsic component images using non-linear regre...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Tappen, Marshall F. Adelson, Edward H. Freeman, William T. MIT Computer Science and Artificial Intelligence Laboratory Cambridge MA 02139
Images can be represented as the composition of multiple intrinsic component images, such as shading, albedo, and noise images. In this paper, we present a method for estimating intrinsic component images from a singl... 详细信息
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Modeling correspondences for multi-camera tracking using nonlinear manifold learning and target dynamics
Modeling correspondences for multi-camera tracking using non...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Morariu, Vlad I. Camps, Octavia I. Computer Vision Laboratory University of Maryland College Park MD 20742 Department of Electrical Engineering Pennsylvania State University University Park PA 16802
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional information available from the multiple se... 详细信息
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Discriminative learning of mixture of bayesian network classifiers for sequence classification
Discriminative learning of mixture of bayesian network class...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Kim, Minyoung Pavlovic, Vladimir Department of Computer Science Rutgers University Piscataway NJ 08854
A mixture of Bayesian Network Classifiers(BNC) has a potential to yield superior classification and generative performance to a single BNC model. We introduce novel discriminative learning methods for mixtures of BNCs... 详细信息
来源: 评论
Shape guided object segmentation
Shape guided object segmentation
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Borenstein, Eran Malik, Jitendra Division of Applied Mathematics Brown University Department of Electrical Engineering and Computer Science U.C. Berkeley
We construct a Bayesian model that integrates top-down with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific and texture invariant. A hierarchy of b... 详细信息
来源: 评论
Acceleration strategies for Gaussian mean-shift image segmentation
Acceleration strategies for Gaussian mean-shift image segmen...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Carreira-Perpiñán, Miguel Á. Dept. of Computer Science and Electrical Eng. OGI Oregon Health and Science University
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and range components). GMS operates by defi... 详细信息
来源: 评论
Tracking with Sobolev active contours
Tracking with Sobolev active contours
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Sundaramoorthi, Ganesh Jackson, Jeremy D. Yezzi, Anthony Mennucci, Andrea C. School of Electrical and Computer Engineering Georgia Institute of Technology Scuola Normale Superiore
Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining their gradients. Sobolev acti... 详细信息
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Shape from shading: Recognizing the mountains through a global view
Shape from shading: Recognizing the mountains through a glob...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Qihui, Zhu Jianbo, Shi Dept. of Computer and Information Science University of Pennsylvania Philadelphia PA 19104
Resolving local ambiguities in an important issue for shape from shading (SFS). Pixel ambiguities of SFS can be eliminated by propagation approaches. However, patch ambiguities still exist. Therefore, we formulate the... 详细信息
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Motion estimation from spheres
Motion estimation from spheres
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Zhang, Guoqiang Wong, Kwan-Yee K. Department of Computer Science University of Hong Kong Hong Kong Hong Kong
This paper addresses the problem of recovering epipolar geometry from spheres. Previous works have exploited epipolar tangencies induced by frontier points on the spheres for motion recovery. It will be shown in this ... 详细信息
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Multi-target tracking - Linking identities using Bayesian network inference
Multi-target tracking - Linking identities using Bayesian ne...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Nillius, Peter Sullivan, Josephine Carlsson, Stefan Institute of Computer Science FORTH Vassilika Vouton GR-711 10 Heraklion Greece SE-100 44 Stockholm Sweden
Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one another, as in football and surveilla... 详细信息
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