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Published Articles >> Table of Contents >> Abstract
XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05)
pp. 233-240
Automatic Face Recognition System Based on Local Fourier-Bessel Feature
Yossi Zana, USP
Roberto M. Cesar-Jr., USP
Regis de A. Barbosa, USP
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2005.13
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| Abstract |
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We present an automatic face verification system inspired
by known properties of biological systems. In the
proposed algorithm the whole image is converted from
the spatial to polar frequency domain by a Fourier-Bessel
Transform (FBT). Using the whole image is compared to
the case where only face image regions (local analysis) are
considered. The resulting representations are embedded in
a dissimilarity space, where each image is represented by its
distance to all the other images, and a Pseudo-Fisher discriminator
is built. Verification test results on the FERET
database showed that the local-based algorithm outperforms
the global-FBT version. The local-FBT algorithm
performed as state-of-the-art methods under different testing
conditions, indicating that the proposed system is highly
robust for expression, age, and illumination variations. We
also evaluated the performance of the proposed system under
strong occlusion conditions and found that it is highly
robust for up to 50% of face occlusion. Finally, we automated
completely the verification system by implementing
face and eye detection algorithms. Under this condition,
the local approach was only slightly superior to the global
approach.
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 Additional Information
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Citation:
Yossi Zana, Roberto M. Cesar-Jr., Regis de A. Barbosa,
"Automatic Face Recognition System Based on Local Fourier-Bessel Feature,"
sibgrapi,
pp. 233-240,
XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05),
2005
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