A new partially occluded face pose recognition

Authors:
Myung-Ho Ju;Hang-Bong Kang
Affiliations:
Dept. of Computer Eng., Catholic University of Korea, Kyonggi-Do, Korea;Dept. of Computer Eng., Catholic University of Korea, Kyonggi-Do, Korea
Venue:
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Year:
2007

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Abstract

A video-based face pose recognition framework for partially occluded faces is presented. Each pose of a person's face is approximated using a connected low-dimensional appearance manifolds and face pose is estimated by computing the minimal probabilistic distance from the partially occluded face to sub-pose manifold using a weighted mask. To deal with partially occluded faces, we detect the occluded pixels in the current frame and then put lower weights on these occluded pixels by computing minimal probabilistic distance between given occluded face pose and face appearance manifold. The proposed method was evaluated under several situations and promising results are obtained.