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检索条件"任意字段=1966 IEEE Computer Society Conference on Computer Vision and Pattern Recognition"
8475 条 记 录,以下是4911-4920 订阅
排序:
Applying neighborhood consistency for fast clustering and kernel density estimation
Applying neighborhood consistency for fast clustering and ke...
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Zhang, Kai Tang, Ming Kwok, James T. Department of Computer Science Hong Kong University of Science and Technology Kowloon Hong Kong NLPR Institute of Automation Chinese Academy of Sciences Beijing 100080 China
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine this idea with kernel density estimation... 详细信息
来源: 评论
Ordinal palmprint represention for personal identification
Ordinal palmprint represention for personal identification
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Sun, Zhenan Tan, Tieniu Wang, Yunhong Li, Stan Z. National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing 100080 China School of Computer Science and Engineering Beihang University China
Palmprint-based personal identification, as a new member in the biometrics family, has become an active research topic in recent years. Although great progress has been made, how to represent palmprint for effective c... 详细信息
来源: 评论
Fisher+Kernel Criterion for discriminant analysis
Fisher+Kernel Criterion for discriminant analysis
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Yang, Shu Yan, Shuicheng Xu, Dong Tang, Xiaoou Zhang, Chao National Laboratory on Machine Perception Peking University Beijing China Department of Information Engineering Chinese University of Hong Kong Shatin Hong Kong MOE-Microsoft Key Laboratory of Multimedia Computing and Communication Department of EEIS University of Science and Technology of China Hefei Anhui China Microsoft Research Asia Beijing China
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an efficient procedure is derived to optimiz... 详细信息
来源: 评论
Real-time multiple objects tracking with occlusion handling in dynamic scenes
Real-time multiple objects tracking with occlusion handling ...
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Yang, Tao Li, Stan Z. Pan, Quan Li, Jing College of Automatic Control Northwestern Polytechnical University Xi'an 710072 China National Lab. of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 China
This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with longduration and complete occlusion without a prior knowledge ab... 详细信息
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Theory for variational area-based segmentation using non-quadratic penalty functions
Theory for variational area-based segmentation using non-qua...
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Karlsson, Adam Overgaard, Niels Chr. Applied Mathematics Group School of Technology and Society Malmö University Sweden
In this paper a theory is developed for variational segmentation of images using area-based segmentation functionals with non-quadratic penalty functions in the fidelity term. Two small theorems, which we believe are ... 详细信息
来源: 评论
Illumination-invariant tracking via graph cuts
Illumination-invariant tracking via graph cuts
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Freedman, Daniel Turek, Matthew W. Computer Science Department Rensselaer Polytechnic Institute Troy NY 12180 United States
Illumination changes are a ubiquitous problem in computer vision. They present a challenge in many applications, including tracking: for example, an object may move in and out of a shadow. We present a new tracking al... 详细信息
来源: 评论
Audio-visual affect recognition through multi-stream fused HMM for HCI
Audio-visual affect recognition through multi-stream fused H...
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Zeng, Zhihong Tu, Jilin Pianfetti, Brian Liu, Ming Zhang, Tong Zhang, Zhenqiu Huang, Thomas S. Levinson, Stephen University of Illinois Urbana-Champaign United States
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human computer Interaction. This paper focuses on the development of a computing algorithm that uses audio and visual ... 详细信息
来源: 评论
Level set active contours on unstructured point cloud
Level set active contours on unstructured point cloud
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Ho, Hon Pong Chen, Yunmei Liu, Huafeng Shi, Pengcheng Department of Electrical and Electronic Engineering Hong Kong University of Science and Technology Clear Water Bay Hong Kong Hong Kong Department of Mathematics University of Florida Gainesville FL United States State Key Lab. of Modern Optical Instrumentation Zhejiang University Hangzhou China
We present a novel level set representation and front propagation scheme for active contours where the analysis/evolution domain is sampled by unstructured point cloud. These sampling points are adaptively distributed... 详细信息
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Detecting, localizing and recovering kinematics of textured animals
Detecting, localizing and recovering kinematics of textured ...
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005
作者: Ramanan, Deva Forsyth, D.A. Barnard, Kobus University of California Berkeley Berkeley CA 94720 United States University of Arizona Tuscon AZ 85721 United States
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images. We build a deformation model of shape... 详细信息
来源: 评论
Heteroscedastic projection based M-estimators
Heteroscedastic projection based M-estimators
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2005 ieee computer society conference on computer vision and pattern recognition, CVPR 2005 - Workshops
作者: Subbarao, Raghav Meer, Peter Electrical and Computer Engineering Department Rutgers University PiscatawayNJ08854 United States
Robust regression methods, such as RANSAC, suffer from a sensitivity to the scale parameter used for generating the inlier-outlier dichotomy. Projection based M-estimators (pbM) offer a solution to this by reframing t... 详细信息
来源: 评论