NDLI: Face recognition by projection-based 3D normalization and shading subspace orthogonalization

Content Provider	IEEE Xplore Digital Library
Author	Kozakaya, T. Yamaguchi, O.
Copyright Year	2006
Description	Author affiliation: Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki (Kozakaya, T.; Yamaguchi, O.)
Abstract	This paper describes a new face recognition method using a projection-based 3D normalization and a shading subspace orthogonalization under variation in facial pose and illumination. The proposed method does not need any reconstruction and reillumination for a personalized 3D model, thus it can avoid these troublesome problems and the recognition process can be done rapidly. The facial size and pose including out of plane rotation can be normalized to a generic 3D model from one still image and the input subspace is generated by perturbed cropped patterns in order to absorb the localization errors. Furthermore, by exploiting the fact that a normalized pattern is fitted to the generic 3D model, illumination robust features are extracted through the shading subspace orthogonalization. Evaluation experiments are performed using several databases and the results show the effectiveness of our method under various facial poses and illuminations
Starting Page	163
Ending Page	168
File Size	976964
Page Count	6
File Format	PDF
ISBN	0769525032
DOI	10.1109/FGR.2006.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-10
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Lighting Image reconstruction Feature extraction Image recognition Deformable models Robustness Image databases Spatial databases Pattern recognition
Content Type	Text
Resource Type	Article

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