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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"
6858 条 记 录,以下是4821-4830 订阅
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Robust data clustering
Robust data clustering
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Fred, Ana L.N. Jain, Anil K. Dept. of Computer Science and Eng. Michigan State University Lansing MI United States
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an information-theoretical framework;mutu... 详细信息
来源: 评论
A novel convergence scheme for active appearance models
A novel convergence scheme for active appearance models
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Batur, Aziz Umit Hayes, Monson H. Sch. of Elec. and Comp. Eng. Georgia Institute of Technology Atlanta GA 30332 United States
The Active Appearance Model (AAM) algorithm is a powerful tool for modeling images of deformable objects. AAM combines a subspace-based deformable model of an object's appearance with a fast and robust method of f... 详细信息
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Statistics of shape via principal geodesic analysis on lie groups
Statistics of shape via principal geodesic analysis on lie g...
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Fletcher, P. Thomas Lu, Conglin Joshi, Sarang Med. Image and Display Analysis Grp. University of North Carolina Raleigh NC United States
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood when the parameters of the objects are... 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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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Elgammal, Ahmed Duraiswami, Ramani Davis, Larry S. Department of Computer Science Rutgers University Piscataway NJ United States UMIACS University of Maryland College Park MD United States Department of Computer Science University of Maryland College Park MD United States
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
来源: 评论
Multi-view stereo beyond Lambert
Multi-view stereo beyond Lambert
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Jin, Hailin Soatto, Stefano Yezzi, Anthony J. Electrical Engineering Department Washington University St. Louis MO 63130 United States Computer Science Department University of California Los Angeles CA 90095 United States Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States
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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Kullback-Leibler boosting
Kullback-Leibler boosting
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Liu, Ce Shum, Hueng-Yeung
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based on the sum of histogram divergences alo... 详细信息
来源: 评论
Object-specific figure-ground segregation
Object-specific figure-ground segregation
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Yu, Stella X. Shi, Jianbo Robotics Institute Carnegie Mellon University Ctr. Neural Basis of Cognition Pittsburgh PA 15213-3890 United States Dept. of Comp. and Information Sci. University of Pennsylvania Philadelphia PA 19104-6389 United States
We consider the problem of segmenting an image into foreground and background, with foreground containing solely objects of interest known a priori. We propose an integration model that incorporates both edge detectio... 详细信息
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Range image segmentation by surface extraction using an improved robust estimator
Range image segmentation by surface extraction using an impr...
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Gotardo, Paulo F.U. Bellon, Olga R.P. Silva, Luciano Departamento de Informatica Universidade Federal do Parana Parana Brazil CPGEI Ctro. Fed. de Educ. Technol. Parana Parana Brazil
This paper presents a novel range image segmentation algorithm based on planar surface extraction. The algorithm was applied to common range image databases and was favorably compared against seven other segmentation ... 详细信息
来源: 评论
Learning dynamics for exemplar-based gesture recognition
Learning dynamics for exemplar-based gesture recognition
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Elgammal, Ahmed Shet, Vinay Yacoob, Yaser Davis, Larry S. Department of Computer Science Rutgers University Piscataway NJ United States Computer Vision Laboratory University of Maryland College Park MD United States
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in exemplar paradigm, HMM states are typi... 详细信息
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Face alignment using statistical models and wavelet features
Face alignment using statistical models and wavelet features
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2003 ieee computer society conference on computer vision and pattern recognition, cvpr 2003
作者: Jiao, Feng Li, Stan Shum, Heung-Yeung Schuurmans, Dale Department of Computer Science University of Waterloo Waterloo Ont. Canada Microsoft Research Asia Beijing China
Active Shape Model (ASM) is a powerful statistical tool for face alignment by shape. However, it can suffer from changes in illumination and facial expression changes, and local minima in optimization. In this paper, ... 详细信息
来源: 评论