NDLI: A multiview face recognition system based on eigenface method

Content Provider	IEEE Xplore Digital Library
Author	Heng Fui Liau, Li-Minn Ang, Kah Phooi Seng,
Copyright Year	2008
Description	Author affiliation: Faculty of Engineering, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia (Heng Fui Liau,; Li-Minn Ang,; Kah Phooi Seng,)
Abstract	Most of the face recognition methods are mainly focused on frontal face images. Identifying faces under different views still remain as a difficult task. In this paper, a new multiview face recognition system based on eigenface method is proposed. Principal component analysis is used to extract the features from the face image. Cr space image is chosen instead of gray level image to perform the pose estimation because it gives more information regarding the pose orientation. A pose estimation method based on eigenface method is proposed. The pose orientation of the face image is determined by estimating the likelihood with the mean faces of the database in eigenspace. Results show that Cr space image outperformed gray level image in pose estimation. Results also show that face recognition systems that take into account more views give better recognition results.
Starting Page	1
Ending Page	5
File Size	364808
Page Count	5
File Format	PDF
ISBN	9781424423279
DOI	10.1109/ITSIM.2008.4631713
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-26
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Face recognition Estimation Chromium Feature extraction Three dimensional displays Face
Content Type	Text
Resource Type	Article

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