NDLI: Sparse Representation for 3D Face Recognition

Content Provider	IEEE Xplore Digital Library
Author	Zhe Guo Yang-yu Fan
Copyright Year	2013
Description	Author affiliation: Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China (Zhe Guo; Yang-yu Fan)
Abstract	The increasing availability of 3D facial data offers the potential to overcome the difficulties inherent with 2D face recognition, including the sensitivity to illumination conditions and head pose variations. In spite of their rapid development, many 3D face recognition algorithms in the literature still suffer from the intrinsic complexity in representing and processing 3D facial data. In this paper, we propose a novel sparse representation algorithm for 3D face recognition. The innovation of our approach lies in the strategy of constructing 3D over complete dictionary for 3D face such that 3D sparse representation can be directly used for 3D face recognition. We compare the proposed algorithm to six state-of-the-art algorithms in the FRGC2.0 database. Our results show that the proposed algorithm can substantially improve the efficiency of 3D face recognition.
Starting Page	336
Ending Page	339
File Size	316889
Page Count	4
File Format	PDF
ISBN	9781479928828
e-ISBN	9781479928835
DOI	10.1109/WCSE.2013.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Algorithm design and analysis Three-dimensional displays Dictionaries Face recognition Signal processing algorithms 3D overcomplete dictionary Sparse representation 3D face recognition Face
Content Type	Text
Resource Type	Article

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