Face location and recognition

Xiaoyu Zhang; Christine I. Podilchuk

doi:10.1117/12.238723

22 April 1996 Face location and recognition

Xiaoyu Zhang, Christine I. Podilchuk

Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238723
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

We introduce a framework for locating the facial features that are robust to varying conditions in lighting, scale, position and orientation. This facial feature extraction algorithm could be useful as a front-end for a face recognition system either to normalize the data or provide the critical features for the classification. We are currently developing a face recognition algorithm which will incorporate the facial feature location algorithm described here. The algorithm is based on a general template which outlines different regions of the face. The template is matched to a particular image location where a set of a priori constraints are best met. The constraints are chosen to be invariant over a wide set of facial characteristics and external conditions. The constraints include ratios of average intensity values, average chrominance values and average smoothness values. The idea of constructing a general template and a set of a priori constraints could easily be extended to other objects.

Citation Download Citation

Xiaoyu Zhang and Christine I. Podilchuk "Face location and recognition", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238723

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