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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"
6545 条 记 录,以下是4811-4820 订阅
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Graphical models for graph matching
Graphical models for graph matching
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conference on computer vision and pattern recognition (cvpr)
作者: T.S. Caetano T. Caelli D.A.C. Barone Instituto de Informática Universidade Federal do Rio Grande do Sul Porto Alegre Rio Grande do Sul Brazil Department of Computing Science University of Alberta Edmonton AB Canada
This paper explores a formulation for attributed graph matching as an inference problem over a hidden Markov random field. We approximate the fully connected model with simpler models in which optimal inference is fea... 详细信息
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Physically-based edge labeling
Physically-based edge labeling
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conference on computer vision and pattern recognition (cvpr)
作者: T.E. Boult L.B. Wolff Department of Computer Science Columbia University New York NY USA Department of Computer Science Johns Hopkins University Baltimore MD USA
The authors present a physically based approach, using polarization, to distinguish three types of image edges; limb edges, specular edges, and albedo/physical edges. Assuming general imaging conditions and smooth die... 详细信息
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Solving Markov Random Fields using Second Order Cone Programming Relaxations
Solving Markov Random Fields using Second Order Cone Program...
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conference on computer vision and pattern recognition (cvpr)
作者: M.P. Kumar P.H.S. Torr A. Zisserman Oxford Brookes University UK Dept. of Computing Oxford Brookes University UK Dept. of Engineering Science University of Oxford UK
This paper presents a generic method for solvingMarkov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solving MRFs is NP-hard, we propose a second... 详细信息
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Hierarchical region based stereo matching
Hierarchical region based stereo matching
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conference on computer vision and pattern recognition (cvpr)
作者: L. Cohen L. Vinet P.T. Sander A. Gagalowicz Domaine de Voluceau-Rocquencourt Le Chesnay France Domaine de Voluceau-Rocquencourt INRIA Le Chesnay France
Stereo matching is the process of determining correspondences between entities in related images. Often, this is treated as two quite independent subprocesses, namely, segmentation, followed by matching. These process... 详细信息
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Single View Reconstruction of Curved Surfaces
Single View Reconstruction of Curved Surfaces
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conference on computer vision and pattern recognition (cvpr)
作者: M. Prasad A. Fitzgibbon University of Oxford U.K.
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 powe... 详细信息
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On the distribution of saliency
On the distribution of saliency
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conference on computer vision and pattern recognition (cvpr)
作者: A. Berengolts M. Lindenbaum Computer Science Department Technion-Israel Institute of Technology Haifa Israel
The calculation of salient structures is one of the early and basic ideas of perceptual organization in computer vision. Saliency algorithms typically mark edge-points with some saliency measure, growing with the leng... 详细信息
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Gauging relational consistency and correcting structural errors
Gauging relational consistency and correcting structural err...
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conference on computer vision and pattern recognition (cvpr)
作者: R.C. Wilson E.R. Hancock Department of Computer Science University of York York UK
The aim of this paper is to provide a comparative evaluation of a number of contrasting approaches to relational matching. Unique to this study is the way in which we show how a diverse family of algorithms relate to ... 详细信息
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Object detection using contrast based scale-space
Object detection using contrast based scale-space
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conference on computer vision and pattern recognition (cvpr)
作者: V.A. Topkar A.K. Sood B. Kjell Department of Computer Science George Mason University Fairfax VA USA
The authors propose four scale-space object detection algorithms for separating objects from the background. These algorithms do not need thresholding at any of the scales. The different algorithms are applicable to i... 详细信息
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A Framework for Feature Selection for Background Subtraction
A Framework for Feature Selection for Background Subtraction
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conference on computer vision and pattern recognition (cvpr)
作者: T. Parag A. Elgammal A. Mittal Department of Computer Science Rutgers University Piscataway NJ USA Real-time Vision & Modeling Department Siemens AG Corporate Research and Development Princeton NJ USA
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveillance, human motion analysis, etc. Vari... 详细信息
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Radiometric alignment of image sequences
Radiometric alignment of image sequences
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conference on computer vision and pattern recognition (cvpr)
作者: Seon Joo Kim M. Pollefeys Department of Computer Science North Carolina State University Chapel Hill NC USA
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter speed, image intensity of a same objec... 详细信息
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