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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是4741-4750 订阅
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Fully automatic registration of 3D point clouds
Fully automatic registration of 3D point clouds
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Makadia, Ameesh Patterson IV, Alexander Daniilidis, Kostas Department of Computer and Information Science University of Pennsylvania Philadelphia PA 19104 United States
We propose a novel technique for the registration of 3D point clouds which makes very few assumptions: we avoid any manual rough alignment or the use of landmarks, displacement can be arbitrarily large, and the two po... 详细信息
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Face recognition using 2.5D shape information
Face recognition using 2.5D shape information
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Smith, William A. P. Hancock, Edwin R. Department of Computer Science University of York
In this paper we investigate whether the 2.5D shape information delivered by a novel shape-from-shading algorithm can be used for illumination insensitive face recognition. We present a robust and efficient facial sha... 详细信息
来源: 评论
Privacy & security issues related to match scores
Privacy & security issues related to match scores
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2006 conference on computer vision and pattern recognition workshops
作者: Mohanty, Pranab Sarkar, Sudeep Kasturi, Rangachar Computer Science and Engineering University of South Florida Tampa FL 33620 United States
Security and privacy issues remains a major hurdle in wide deployment of biometric based authentication system. For example, unauthorized access or regeneration of face templates has serious implications on the privac... 详细信息
来源: 评论
Accelerated kernel feature analysis
Accelerated kernel feature analysis
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Xianhua, Jiang Snapp, Robert R. Yuichi, Motai Xingquan, Zhu Dept. of Electrical and Computer Engineering Dept. of Computer Science University of Vermont Burlington VT 05405
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-based feature selection algorithms, AKF... 详细信息
来源: 评论
Graph Laplacian kernels for object classification from a single example
Graph Laplacian kernels for object classification from a sin...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Chang, Hong Yeung, Dit-Yan Department of Computer Science Hong Kong University of Science and Technology
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this problem in the context of specific appli... 详细信息
来源: 评论
A framework for feature selection for background subtraction
A framework for feature selection for background subtraction
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Parag, Toufiq Elgammal, Ahmed Mittal, Anurag Dept. of Computer Science Rutgers University Piscataway NJ 08854 Real-time Vision and Modeling Dept. Siemens Corporate Research Princeton NJ 08540 Dept. of Computer Science and Automatic Control University of Alexandria Egypt Dept. of Computer Science and Engg IIT Madras Chennai India
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
来源: 评论
Applying ensembles of multilinear classifiers in the frequency domain
Applying ensembles of multilinear classifiers in the frequen...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Bauckhage, Christian Käster, Thomas Tsotsos, John K. Deutsche Telekom Laboratories 10587 Berlin Germany Centre for Vision Research York University Toronto Ont. M3J1P3 Canada
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoretical and practical results alike have ... 详细信息
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The design of high-level features for photo quality assessment
The design of high-level features for photo quality assessme...
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Ke, Yan Tang, Xiaoou Jing, Feng School of Computer Science Carnegie Mellon Microsoft Research Asia
We propose a principled method for designing high level features for photo quality assessment. Our resulting system can classify between high quality professional photos and low quality snapshots. Instead of using the... 详细信息
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3D alignment of face in a single image
3D alignment of face in a single image
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Gu, Lie Kanade, Takeo Computer Science Department Carnegie Mellon University
We present an approach for aligning a 3D deformable model to a single face image. The model consists of a set of sparse 3D points and the view-based patches associated with every point. Assuming a weak perspective pro... 详细信息
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Image completion using global optimization
Image completion using global optimization
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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006
作者: Komodakis, Nikos Tziritas, Georgios Computer Science Department University of Crete
A new exemplar-based framework unifying image completion, texture synthesis and image inpainting is presented in this work. Contrary to existing greedy techniques, these tasks are posed in the form of a discrete globa... 详细信息
来源: 评论