NDLI: A comparative study of wavelet and Curvelet transform for face recognition

Content Provider	IEEE Xplore Digital Library
Author	Jiulong Zhang Yinghui Wang
Copyright Year	2010
Description	Author affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China (Jiulong Zhang; Yinghui Wang)
Abstract	Wavelet transform had been a popular feature extraction tool for face recognition, and much work has been done regarding the choice of wavelet subbands in presence of variation in expression, illumination and pose. However the using of curvelet transform, which is effective in representing curves, and the performance analysis have not been studied. We propose to employ curvelet for facial feature extraction, and perform a thorough comparison against wavelet transform; especially, the orientation of curvelet is analyzed. Experiments show that for expression changes, the small scale coefficients of curvelet outperform the high frequency coefficients of wavelet to a large degree. Whilst for illumination changes, the small scale coefficients of curvelet transform are robust, though the large scale coefficients of both transform are likely influenced. The reason behind the advantages of curvelet lies in its abilities of spatial localization and orientation sensitivity, thus the experiments and theoretical analysis coincide.
Starting Page	1718
Ending Page	1722
File Size	362529
Page Count	5
File Format	PDF
ISBN	9781424465132
e-ISBN	9781424465163
DOI	10.1109/CISP.2010.5647882
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Face recognition feature extraction Lighting orientation sensitivity wavelet transform curvelet transform face recognition Wavelet analysis Face Principal component analysis
Content Type	Text
Resource Type	Article

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