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» Markov Random Field Modeling in Computer Vision
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148
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CIARP
2009
Springer
15 years 9 months ago
Two-Frame Optical Flow Formulation in an Unwarping Multiresolution Scheme
Abstract. In this paper, we propose a new formulation of the Differential Optical Flow Equation (DOFE) between two consecutive images considering spatial and temporal information ...
Cyril Cassisa, Serge Simoens, Véronique Pri...
117
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Optical flow robust estimation in a hybrid multi-resolution MRF framework
We propose in this paper a robust multi-resolution technique to estimate dense velocity field from image sequences. It couples a Gaussian pyramidal down-sampling decomposition to...
Cyril Cassisa, Véronique Prinet, Liang Shao...
102
Voted
ICPR
2004
IEEE
16 years 3 months ago
Human Action Segmentation via Controlled Use of Missing Data in HMMs
Segmentation of individual actions from a stream of human motion is an open problem in computer vision. This paper approaches the problem of segmenting higher-level activities int...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
CVPR
2011
IEEE
14 years 10 months ago
Accelerated Low-Rank Visual Recovery by Random Projection
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
CVPR
2010
IEEE
15 years 8 months ago
YouTubeCat: Learning to Categorize Wild Web Videos
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, ...