Abstract
We propose a novel framework for localizing human faces in client authentication scenarios based on correspondences between triplets of detected Gabor-based local features and their counterparts in a generic affine invariant face appearance model. The method is robust to partial occlusion, feature detector failure and copes well with cluttered background. The method was tested on the BANCA database and produced promising results.
This work was supported by the EU Project BANCA [1].
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Hamouz, M., Kittler, J., Kamarainen, J.K., Kälviäinen, H. (2003). Hypotheses-Driven Affine Invariant Localization of Faces in Verification Systems. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_33
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DOI: https://doi.org/10.1007/3-540-44887-X_33
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