1088 search results - page 63 / 218 » Robust Principal Component Analysis for Computer Vision |
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
In this study Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF) and Nonnegative Tensor Factorization (NTF) are applied as dimension reduction methods in ...
102
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ECCV
2004
Springer
15 years 3 months ago
2004
Springer
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
ECCV
2010
Springer
15 years 1 months ago
2010
Springer
Detection, tracking, segmentation and pose estimation of people in monocular images are widely studied. Two-dimensional models of the human body are extensively used, however, they...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
CVPR
1998
IEEE
16 years 3 days ago
1998
IEEE
We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. E...