Fisher Light-Fields for Face Recognition across Pose and Illumination

In many face recognition tasks the pose and illumination conditions of the probe and gallery images are di erent. In other cases multiple gallery or probe images may be available, each captured from a di erent pose and under a di erent illumination. We propose a face recognition algorithm which 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 lighteld of the subject's head from the input gallery or probe images. Matching between the probe and gallery is then performed using the Fisher lightelds.