Single image per person face recognition with images synthesized by non-linear approximation

TitleSingle image per person face recognition with images synthesized by non-linear approximation
Publication TypeConference Paper
Year of Publication2008
AuthorsMajumdar, A., and R. K. Ward
Conference NameImage Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Pagination2740 -2743
Date Publishedoct.
Keywordsapproximation theory, contourlets, curvelet transforms, curvelets, edge information, face recognition, image synthesis, minimisation, minimization problem, nonlinear approximation, single image per person face recognition, surfacelets, transform domain, voting based approach, wavelet transforms, wavelets

This paper addresses the problem of identifying faces when the training face database consists of one face image of each person. It proposes a new approach that synthesizes new face samples of varying degrees of edge information; the synthesized images are generated from the original image and form non-linear approximations of the latter. The approximation is framed as an l 1 minimization problem in a transform domain. The paper also shows that a voting based approach to recognize faces from single available samples yields better results than previous works that only augmented the available database. The proposed approach yields considerably better results (about 6% increase in recognition accuracy) than the SPCA method, which was tailored for addressing this problem.


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