Paper Info
Title
Robust face recognition by combining projection-based image correction and decomposed eigenface
Abstract
This paper presents a robust face recognition method which can work even when an insufficient number of images are registered for each person. The method is composed of image correction and image decomposition, both of which are specified in the normalized image space (NIS). The image correction[1, 2] is realized by iterative projections of an image to an eigenspace in NIS. It works well for natural images having various kinds of noise, including shadows, reflections, and occlusions. We have proposed decomposition of an eigenface into two orthogonal eigenspaces[3], and have shown that the decomposition is effective for realizing robust face recognition under various lighting conditions. This paper shows that the decomposed eigenface method can be refined by projection-based image correction.
Year
DOI
Venue
2004
10.1109/AFGR.2004.1301538
FGR
Keywords
Field
DocType
various lighting condition,various kind,normalized image space,decomposed eigenface method,robust face recognition method,robust face recognition,image correction,projection-based image correction,natural image,image decomposition,information technology,face detection,face recognition,principal component analysis,object recognition
Computer vision,Facial recognition system,Normalization (statistics),Eigenface,Image correction,Pattern recognition,Artificial intelligence,Face detection,Principal component analysis,Mathematics,Eigenvalues and eigenvectors,Cognitive neuroscience of visual object recognition
Conference
ISBN
Citations 
PageRank 
0-7695-2122-3
2
0.36
References 
Authors
12
3
Name
Order
Citations
PageRank
Takeshi Shakunaga119243.46
Fumihiko Sakaue24619.84
Kazuma Shigenari331.07