1088 search results - page 42 / 218 » Robust Principal Component Analysis for Computer Vision |
FGR
1998
IEEE
13 years 12 months ago
1998
IEEE
Automated recognition of facial expression is an important addition to computer vision research because of its relevance to the study of psychological phenomena and the developmen...
CVPR
2004
IEEE
2004
IEEE
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
14 years 9 months ago
Face recognition under unconstrained illuminations (FR/I) received extensive study because of the existence of illumination subspace. [2] presented a study on the comparison betwe...
MM
2005
ACM
14 years 1 months ago
2005
ACM
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper, we describe an algorithm called Fast Marching Watersheds that segments a triangle mesh into visual parts. This computer vision algorithm leverages a human vision th...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...