Paper Info
Title
An efficient face recognition algorithm based on robust principal component analysis.
Abstract
In this paper, an efficient face recognition algorithm is proposed, which is robust to illumination, expression and occlusion. In our method, a human face image is considered as a multiplication of a reflectance image and an illumination image. Then, this illumination model is used to transfer input images. After the transformation, the robust principal component analysis is employed to recover the intrinsic information of a sequence of images of one person. Finally, a new similarity metric is defined for face recognition. Experiments based on different databases illustrate that our method can achieve consistent and promising results.
Year
DOI
Venue
2010
10.1145/1937728.1937752
ICIMCS
Keywords
Field
DocType
different databases,illumination model,face recognition,illumination image,robust principal component analysis,intrinsic information,input image,human face image,robust principal component analysis rpca,efficient face recognition algorithm,reflectance image,principal component analysis
Facial recognition system,Computer vision,Eigenface,Pattern recognition,Computer science,Algorithm,Robust principal component analysis,Multiplication,Artificial intelligence,Reflectivity
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
2
Name
Order
Citations
PageRank
Ziheng Wang11997.92
Xudong Xie230420.32