1088 search results - page 63 / 218 » Robust Principal Component Analysis for Computer Vision |
ICPR
2008
IEEE
14 years 2 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 ...
ECCV
2004
Springer
14 years 1 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
13 years 11 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
13 years 7 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
14 years 9 months 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...