19 search results - page 2 / 4 » From Few to Many: Generative Models for Recognition Under Va... |
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
AROBOTS
2007
13 years 5 months ago
2007
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
CVPR
2006
IEEE
13 years 11 months ago
2006
IEEE
This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3...
PAMI
2012
11 years 7 months ago
2012
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
ICCV
2007
IEEE
13 years 8 months ago
2007
IEEE
Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this paper we present a novel algorithm designed for th...