Fisher light-fields for face recognition across pose and illumination

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Abstract

In many face recognition tasks the pose and illumination conditions of the probe and gallery images are different. In other cases multiple gallery or probe images may be available, each captured from a different pose and under a different illumination. We propose a face recognition algorithmwhich can use any number of gallery images per subject captured at arbitrary poses and under arbitrary illumination, and any number of probe images, again captured at arbitrary poses and under arbitrary illumination. The algorithm operates by estimating the Fisher light-field of the subject's head fromthe input gallery or probe images. Matching between the probe and gallery is then performed using the Fisher light-fields. © Springer-Verlag Berlin Heidelberg 2002.

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Gross, R., Matthews, I., & Baker, S. (2002). Fisher light-fields for face recognition across pose and illumination. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2449 LNCS, pp. 481–489). Springer Verlag. https://doi.org/10.1007/3-540-45783-6_58

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