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检索条件"任意字段=2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010"
7219 条 记 录,以下是71-80 订阅
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Recognizing Human Actions from Still Images with Latent Poses
Recognizing Human Actions from Still Images with Latent Pose...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Yang, Weilong Wang, Yang Mori, Greg Simon Fraser Univ Sch Comp Sci Burnaby BC V5A 1S6 Canada
We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as latent variables that will help with recognition. Different from o... 详细信息
来源: 评论
Extracting symmetry features from color images
Extracting symmetry features from color images
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Thai, B Healey, G Univ of California Irvine United States
We develop methods to extract semantically meaningful symmetries from color images. These symmetries are defined within and between color hands using complex moments computed from the output of a bank of orientation a... 详细信息
来源: 评论
Fast Global Optimization of Curvature
Fast Global Optimization of Curvature
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: El-Zehiry, Noha Youssry Grady, Leo Siemens Corp Res Princeton NJ 08540 USA
Two challenges in computer vision are to accommodate noisy data and missing data. Many problems in computer vision, such as segmentation, filtering, stereo, reconstruction, inpainting and optical flow seek solutions t... 详细信息
来源: 评论
Attribute-Centric recognition for Cross-category Generalization
Attribute-Centric Recognition for Cross-category Generalizat...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Farhadi, Ali Endres, Ian Hoiem, Derek Univ Illinois Urbana IL USA
We propose an approach to find and describe objects within broad domains. We introduce a new dataset that provides annotation for sharing models of appearance and correlation across categories. We use it to learn part... 详细信息
来源: 评论
Novel view synthesis in tensor space
Novel view synthesis in tensor space
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Avidan, S Shashua, A Hebrew Univ 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) ... 详细信息
来源: 评论
Visual recognition using Mappings that Replicate Margins
Visual Recognition using Mappings that Replicate Margins
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Wolf, Lior Manor, Nathan Tel Aviv Univ Blavatnik Sch Comp Sci Tel Aviv Israel
We consider the problem of learning to map between two vector spaces given pairs of matching vectors, one from each space. This problem naturally arises in numerous vision problems, for example, when mapping between t... 详细信息
来源: 评论
Deterioration detection for digital film restoration
Deterioration detection for digital film restoration
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Buisson, O Besserer, B Boukir, S Helt, F Universite La Rochelle La Rochelle France
This paper presents a robust technique to detect local deteriorations of old cinematographic films. This method relies on spatio-temporal information and combines two different detectors : a morphological detector whi... 详细信息
来源: 评论
Object recognition using invariant profiles
Object recognition using invariant profiles
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Slater, D Healey, G Univ of California Irvine United States
We derive a sensitivity analysis for moment invariants of multidimensional distributions, These invariants have many uses in computational systems and have recently been used for illumination-invariant recognition in ... 详细信息
来源: 评论
Global and Efficient Self-Similarity for Object Classification and Detection
Global and Efficient Self-Similarity for Object Classificati...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Deselaers, Thomas Ferrari, Vittorio ETH Comp Vis Lab Zurich Switzerland
Self-similarity is an attractive image property which has recently found its way into object recognition in the form of local self-similarity descriptors [5, 6, 14, 18, 23, 27] In this paper we explore global self-sim... 详细信息
来源: 评论
Exploring Features in a Bayesian Framework for Material recognition
Exploring Features in a Bayesian Framework for Material Reco...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Liu, Ce Sharan, Lavanya Adelson, Edward H. Rosenholtz, Ruth Microsoft Research New England United States Disney Research Pittsburgh United States Massachusetts Institute of Technology United States
We are interested in identifying the material category, e.g. glass, metal, fabric, plastic or wood, from a single image of a surface. Unlike other visual recognition tasks in computer vision, it is difficult to find g... 详细信息
来源: 评论