NDLI: Face Recognition across Poses Utilizing Feature Transformation

Content Provider	IEEE Xplore Digital Library
Author	Hongzhou Zhang Yongping Li Lin Wang Chengbo Wang
Copyright Year	2006
Description	Author affiliation: Shanghai Inst. of Appl. Phys., Chinese Acad. of Sci., Shanghai (Hongzhou Zhang; Yongping Li; Lin Wang; Chengbo Wang)
Abstract	Face recognition is an advanced identification solution which can meet the crying needs in security areas. Pose effect is a big challenge for robust applications of this technology. We proposed a feature transformation approach to cope with the head rotation roughly within half profile view. Comparing with algorithms based on computer vision technology, the proposed feature transformation method is not dependent on heavy computation and easily to apply in live conditions. Popular feature extractions, least square (LS) and total least square (TLS) solution in calculating as well as some properties of transformation were explored on the FERET database
Starting Page	29
Ending Page	34
File Size	7380819
Page Count	6
File Format	PDF
ISBN	1424407443
DOI	10.1109/CIHSPS.2006.313297
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Computer vision Head Feature extraction Solid modeling Face detection Application software Least squares methods Image generation Active appearance model feature transformation face recognition pose
Content Type	Text
Resource Type	Article

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