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Proceedings Paper

Face and automatic target recognition based on super-resolution class-specific subspace
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Paper Abstract

Recently, super-resolution reconstruction (SRR) method of low-dimensional face subspaces has been proposed for face recognition. However, the reconstructed features obtained from the face-specific super-resolution subspace contain no class information. This paper proposes a novel method for super-resolution reconstruction of class specific features that aims on improving the discriminant power of the recognition systems. Our experimental results on Yale and ORL face databases are very encouraging. Furthermore, the performance of our proposed approach on the MSTAR database is also tested for preliminary evaluation.

Paper Details

Date Published: 7 May 2007
PDF: 8 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670M (7 May 2007); doi: 10.1117/12.723527
Show Author Affiliations
Widhyakorn Asdornwised, Chulalongkorn Univ. (Thailand)

Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)

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