1088 search results - page 62 / 218 » Robust Principal Component Analysis for Computer Vision |
ACCV
2006
Springer
14 years 1 months ago
2006
Springer
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization (S-LNMF) technique. The proposed algorith...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
We introduce in this paper a new face coding and recognition method which employs the Enhanced FLD (Fisher Linear Discrimimant) Model (EFM)on integrated shape (vector) and texture...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
The aim of this paper is to find the best representation for the appearance of surfaces with Lambertian reflectance under varying illumination. Previous work using principal compo...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
In this paper we propose a novel inhomogeneous Gibbs model by the minimax entropy principle, and apply it to face modeling. The maximum entropy principle generalizes the statistic...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...