Title
Nearest-Subspace Patch Matching For Face Recognition Under Varying Pose And Illumination
Abstract
We consider the problem of recognizing human faces despite variations in both pose and illumination, using only frontal training images. We propose a very simple algorithm, called Nearest-Subspace Patch Matching, which combines a local translational model for deformation due to pose with a linear subspace model for lighting variations. This algorithm gives surprisingly competitive performance for moderate variations in both pose and illumination, a domain that encompasses most face recognition applications, such as access control. The results also provide a baseline for justifying the use of more complicated face models or more advanced learning methods to handle more extreme situations. Extensive experiments on publicly available databases verify the efficacy of the proposed method and clarify its operating range.
Year
DOI
Venue
2008
10.1109/AFGR.2008.4813452
2008 8TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2008), VOLS 1 AND 2
Keywords
Field
DocType
access control,databases,data mining,image recognition,pose estimation,face recognition,lighting,face
Computer vision,Facial recognition system,Pattern recognition,Subspace topology,Image matching,Computer science,Linear subspace,Pose,Access control,Artificial intelligence,SIMPLE algorithm
Conference
ISSN
Citations 
PageRank 
2326-5396
8
0.51
References 
Authors
23
5
Name
Order
Citations
PageRank
Zihan Zhou183339.42
Arvind Ganesh24904153.80
John Wright310974361.48
shenfu tsai4544.77
Yi Ma514931536.21