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ICPR
2008
IEEE
13 years 11 months ago
A similarity measure under Log-Euclidean metric for stereo matching
Stereo matching has been one of the most active areas in computer vision for decades. Many methods, ranging from similarity measures to local or global matching cost optimization ...
Quanquan Gu, Jie Zhou
ACCV
2009
Springer
13 years 2 months ago
Human Action Recognition under Log-Euclidean Riemannian Metric
This paper presents a new action recognition approach based on local spatio-temporal features. The main contributions of our approach are twofold. First, a new local spatio-tempora...
Chunfeng Yuan, Weiming Hu, Xi Li, Stephen J. Mayba...
ICPR
2000
IEEE
13 years 9 months ago
Maximum Likelihood Stereo Matching
In the research literature, maximum likelihood principles were applied to stereo matching by altering the stereo pair so that the difference would have a Gaussian distribution. He...
Nicu Sebe, Michael S. Lew
CVPR
2007
IEEE
14 years 6 months ago
Evaluation of Cost Functions for Stereo Matching
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with ...
Daniel Scharstein, Heiko Hirschmüller
PAMI
2011
12 years 11 months ago
Robust Stereo Matching Using Adaptive Normalized Cross-Correlation
—A majority of the existing stereo matching algorithms assume that the corresponding color values are similar to each other. However, it is not so in practice as image color valu...
Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee