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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61-70 订阅
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Guest Editors' Introduction to the Special Section on Award Winning Papers from the ieee CS conference on computer vision and pattern recognition (cvpr)
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ieee TRANSACTIONS ON pattern ANALYSIS AND MACHINE INTELLIGENCE 2009年 第12期31卷 2113-2114页
作者: Boyer, Kim Shah, Mubarak Syeda-Mahmood, Tanveer Rensselaer Polytech Inst Dept Elect Comp & Syst Engn Troy NY 12180 USA Univ Cent Florida Sch Elect Engn & Comp Sci Orlando FL 32816 USA IBM Almaden Res Ctr San Jose CA 95120 USA
The three articles in this special section are selected papers from the ieee CS conference on computer vision and pattern recognition that was held in Anchorage, AL, in June 2008.
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Detecting Text in Natural Scenes with Stroke Width Transform
Detecting Text in Natural Scenes with Stroke Width Transform
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Epshtein, Boris Ofek, Eyal Wexler, Yonatan Microsoft Corp Redmond WA 98052 USA
We present a novel image operator that seeks to find the value of stroke width for each image pixel, and demonstrate its use on the task of text detection in natural images. The suggested operator is local and data de... 详细信息
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Modelling of single mode distributions of colour data using directional statistics
Modelling of single mode distributions of colour data using ...
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Alexander, DC Buxton, BF Univ Coll London London United Kingdom
Three different statistical models of colour data for use in segmentation or tracking algorithms are proposed. Results of a performance comparison of a tracking algorithm, applied to two separate applications, using e... 详细信息
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Efficient stereo with multiple windowing
Efficient stereo with multiple windowing
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Fusiello, A Roberto, V Trucco, E Univ of Udine Udine Italy
We present a new, efficient stereo algorithm addressing robust disparity estimation in the presence of occlusions. The algorithm is an adaptive, multi-window scheme using left-right consistency to compute disparity an... 详细信息
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Rapid Face recognition Using Hashing
Rapid Face Recognition Using Hashing
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Shi, Qinfeng Li, Hanxi Shen, Chunhua Australian Natl Univ Canberra ACT Australia
We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random l(1) approach [18], which is considered the state-of-the-art. But our method is much faster: it... 详细信息
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Predicate Logic based Image Grammars for Complex pattern recognition
Predicate Logic based Image Grammars for Complex Pattern Rec...
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ieee-computer-society conference on computer vision and pattern recognition Workshops
作者: Shet, Vinay Singh, Maneesh Bahlmann, Claus Ramesh, Visvanathan Siemens Corp Res Princeton NJ USA
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DARTs: Efficient scale-space extraction of DAISY keypoints
DARTs: Efficient scale-space extraction of DAISY keypoints
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Marimon, David Bonnin, Arturo Adamek, Tomasz Gimeno, Roger Telefon Res & Dev Barcelona Spain
Winder et al. [15, 14] have recently shown the superiority of the DAISY descriptor [12] in comparison to other widely extended descriptors such as SIFT [8] and SURF [1]. Motivated by those results, we present a novel ... 详细信息
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Motion Estimation with Non-Local Total Variation Regularization
Motion Estimation with Non-Local Total Variation Regularizat...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Werlberger, Manuel Pock, Thomas Bischof, Horst Institute for Computer Graphics and Vision Austria
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principles of grouping we propose to incorpora... 详细信息
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On the design of robust classifiers for computer vision
On the design of robust classifiers for computer vision
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Masnadi-Shirazi, Hamed Mahadevan, Vijay Vasconcelos, Nuno Univ Calif San Diego Dept Elect & Comp Engn San Diego CA 92103 USA
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires loss functions that penalize both large... 详细信息
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A Hough Transform-Based Voting Framework for Action recognition
A Hough Transform-Based Voting Framework for Action Recognit...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Yao, Angela Gall, Juergen Van Gool, Luc ETH Zurich Switzerland
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled feature patches and their corresponding... 详细信息
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