1088 search results - page 165 / 218 » Robust Principal Component Analysis for Computer Vision |
ICCV
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work ...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
This work addresses the important problem of the discovery
and analysis of social networks from surveillance video.
A computer vision approach to this problem is made possible
b...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
CAIP
2009
Springer
14 years 3 months ago
2009
Springer
Robust stereo and optical flow disparity matching is essential for computer vision applications with varying illumination conditions. Most robust disparity matching algorithms rel...
ECCV
2004
Springer
14 years 10 months ago
2004
Springer
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...