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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4881-4890 订阅
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Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects
Learning Exemplar-Based Categorization for the Detection of ...
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conference on computer vision and pattern recognition (cvpr)
作者: Ying Shan Feng Han H.S. Sawhney R. Kumar Sarnoff Corporation Princeton NJ USA
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by numerous previous observations that manual... 详细信息
来源: 评论
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours
Ultrasound-Specific Segmentation via Decorrelation and Stati...
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conference on computer vision and pattern recognition (cvpr)
作者: G. Slabaugh G. Unal Tong Fang M. Wels Intelligent Vision and Reasoning Department Siemens Corporate Research Inc. Princeton NJ USA Department of Computer Science Universität WÜrzburg Coburg Germany
Segmentation of ultrasound images is often a very challenging task due to speckle noise that contaminates the image. It is well known that speckle noise exhibits an asymmetric distribution as well as significant spati... 详细信息
来源: 评论
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Shape-Based Approach to Robust Image Segmentation using Kern...
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conference on computer vision and pattern recognition (cvpr)
作者: S. Dambreville Y. Rathi A. Tannen Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within the level-set framework. Following th... 详细信息
来源: 评论
Bayesian fusion of camera metadata cues in semantic scene classification
Bayesian fusion of camera metadata cues in semantic scene cl...
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conference on computer vision and pattern recognition (cvpr)
作者: M. Boutell J. Luo Department of Computer Science University of Rochester USA Research & Development Laboratories Eastman Kodak (Japan) Limited USA
Semantic scene classification based only on low-level vision cues has had limited success on unconstrained image sets. On the other hand, camera metadata related to capture conditions provides cues independent of the ... 详细信息
来源: 评论
Novel view synthesis in tensor space
Novel view synthesis in tensor space
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conference on computer vision and pattern recognition (cvpr)
作者: S. Avidan A. Shashua Institute of Computer Science Hebrew University of Jerusalem Jerusalem Israel
We present a new method for synthesizing novel views of a 3D scene from few model images in full correspondence. The core of this work is the derivation of a tensorial operator that describes the transformation from a... 详细信息
来源: 评论
Articulated object recognition, or: how to generalize the generalized Hough transform
Articulated object recognition, or: how to generalize the ge...
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conference on computer vision and pattern recognition (cvpr)
作者: A. Beinglass H.J. Wolfson Computer Science Department Sackler Faculty of Exact Sciences Tel-Aviv University Tel-Aviv Israel
A method for model-based recognition of articulated objects in cluttered scenes is presented. The objects consist of rigid parts connected by rotary or prismatic joints. The method is based on an extension of the gene...
来源: 评论
Competitive mixture of deformable models for pattern classification
Competitive mixture of deformable models for pattern classif...
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conference on computer vision and pattern recognition (cvpr)
作者: Kwok-Wai Cheung Dit-Yan Yeung R.T. Chin Department of Computler Science Hong Kong University of Science and Technology Hong Kong China Hong Kong University of Science and Technology Kowloon HK Dept. of Comput. Sci. Hong Kong Univ. of Sci. & Technol. Clear Water Bay Hong Kong
Following the success of applying deformable models to feature extraction, a natural next step is to apply such models to pattern classification. Recently, we have cast a deformable model under a Bayesian framework fo... 详细信息
来源: 评论
Active Graph Cuts
Active Graph Cuts
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conference on computer vision and pattern recognition (cvpr)
作者: O. Juan Y. Boykov CERTIS Ecole Nationale des Ponts et Chaussees Champs sur Marne France Computer Science Department University of Western Ontario London ONT Canada
This paper adds a number of novel concepts into global s/t cut methods improving their efficiency and making them relevant for a wider class of applications in vision where algorithms should ideally run in real-time. ... 详细信息
来源: 评论
Multidimensional indexing for recognizing visual shapes
Multidimensional indexing for recognizing visual shapes
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conference on computer vision and pattern recognition (cvpr)
作者: A. Califano R. Mohan Exploratory Computer Vision Group IBM Thomas J. Watson Research Center Yorktown Heights NY USA
A homogeneous approach for acquisition, storage, and recognition of nonparametric shapes from images, using a novel shape representation based on shape autocorrelation operators is presented. A theoretical and experim... 详细信息
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Off-line handwritten word recognition (HWR) using a single contextual hidden Markov model
Off-line handwritten word recognition (HWR) using a single c...
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conference on computer vision and pattern recognition (cvpr)
作者: M.-Y. Chen A. Kundu J. Zhou Center of Excellence for Document Analysis and Recognition Suny at Buffalo Buffalo NY USA
A complete scheme for totally unconstrained handwritten word recognition based on a single contextual hidden Markov model (HMM) is proposed. The scheme includes a morphology- and heuristics-based segmentation algorith... 详细信息
来源: 评论