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检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"
6849 条 记 录,以下是4931-4940 订阅
排序:
High-accuracy stereo depth maps using structured light
High-accuracy stereo depth maps using structured light
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conference on computer vision and pattern recognition (cvpr)
作者: D. Scharstein R. Szeliski Middlebury College USA Microsoft Research Limited USA
Progress in stereo algorithm performance is quickly outpacing the ability of existing stereo data sets to discriminate among the best-performing algorithms, motivating the need for more challenging scenes with accurat... 详细信息
来源: 评论
Face authentication using the trace transform
Face authentication using the trace transform
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conference on computer vision and pattern recognition (cvpr)
作者: S. Srisuk M. Petrou W. Kurutach A. Kadyrov University of Surrey Guildford UK Mahanakom University of Technology Bangkok Thailand Informatics and Telematics Institute CERN Thermi Greece
We introduce a face representation, the shape trace transform (STT), for recognizing faces in an authentication system. The STT offers an alternative representation for faces that has a very high discriminatory power.... 详细信息
来源: 评论
Multi-view stereo beyond Lambert
Multi-view stereo beyond Lambert
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conference on computer vision and pattern recognition (cvpr)
作者: Hailin Jin S. Soatto A.J. Yezzi Electrical Engineering Department Washington University Saint Louis MO USA Computer Science Department University of California Los Angeles CA USA Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
We consider the problem of estimating the shape and radiance of an object from a calibrated set of views under the assumption that the reflectance of the object is non-Lambertian. Unlike traditional stereo, we do not ... 详细信息
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Adaptation for multiple cue integration
Adaptation for multiple cue integration
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conference on computer vision and pattern recognition (cvpr)
作者: Zhaohui Sun Electric Imaging Products Research & Development Eastman Kodak (Japan) Limited Rochester NY USA
Many classification tasks can be carried out by casting a domain-specific problem to general graph representation (with objects to be organized as graph nodes and pairwise similarities as graph edges) followed by a gr... 详细信息
来源: 评论
Probabilistic tracking in joint feature-spatial spaces
Probabilistic tracking in joint feature-spatial spaces
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conference on computer vision and pattern recognition (cvpr)
作者: A. Elgammal R. Duraiswami L.S. Davis Department of Computer Science Rutgers University Piscataway NJ USA UMIACS University of Maryland College Park MD USA Department of Computer Science University of Maryland College Park MD USA
In this paper, we present a probabilistic framework for tracking regions based on their appearance. We exploit the feature-spatial distribution of a region representing an object as a probabilistic constraint to track... 详细信息
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Practical non-parametric density estimation on a transformation group for vision
Practical non-parametric density estimation on a transformat...
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conference on computer vision and pattern recognition (cvpr)
作者: E.G. Miller C. Chefd'hotel Computer Science Division University of California Berkeley Berkeley CA USA Siemens AG Corporate Research and Development Princeton NJ USA Odyssée Laboratory INRIA Sophia-Antipolis France
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. In this context, we present a simple and... 详细信息
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Switching observation models for contour tracking in clutter
Switching observation models for contour tracking in clutter
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conference on computer vision and pattern recognition (cvpr)
作者: Ying Wu Gang Hua Ting Yu Department of Electrical & Computer Engineering Northwestern University Evanston IL USA
We propose a generative model approach to contour tracking against nonstationary clutter and to coping with occlusions by explicit modelling and inferring. The proposed dynamic Bayesian networks consist of multiple hi... 详细信息
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What went where [motion segmentation]
What went where [motion segmentation]
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conference on computer vision and pattern recognition (cvpr)
作者: J. Wills S. Agarwal S. Belongie Department of Computer Science and Engineering University of California La Jolla CA USA
We present a framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences by comparing vectors of filter outputs at i... 详细信息
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Joint 3D-reconstruction and background separation in multiple views using graph cuts
Joint 3D-reconstruction and background separation in multipl...
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conference on computer vision and pattern recognition (cvpr)
作者: B. Goldlucke M.A. Magnor Graphics-Optics-Vision Max Planck Institut für Informatik Saarbrucken Germany
This paper deals with simultaneous depth map estimation and background separation in a multi-view setting with several fixed calibrated cameras, two problems which have previously been addressed separately. We demonst... 详细信息
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A novel support vector classifier with better rejection performance
A novel support vector classifier with better rejection perf...
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conference on computer vision and pattern recognition (cvpr)
作者: Chao Yuan D. Casasent ECE Department Carnegie Mellon University Pittsburgh PA USA
Support vector machines (SVMs) have been successfully used in many classification fields. However, conventional SVMs do not consider rejecting inputs and thus suffer from false alarms. The first reason for this is tha... 详细信息
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