Automatic facial feature extraction by genetic algorithms

Ja-Ling Wu; Chun-Hung Lin

doi:10.1117/12.334745

28 December 1998 Automatic facial feature extraction by genetic algorithms

Ja-Ling Wu, Chun-Hung Lin

Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334745
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

An automatic facial feature extraction algorithm is presented in this paper. The algorithm is composed of two main stages: the face region estimation stage and the feature extraction stage. In the face region estimation stage, a second-chance region growing method is adopted to estimate the face region of a target image. In the feature extraction stage, genetic search algorithms are applied to extract the facial feature points within the face region. It is shown by simulation results that the proposed algorithm can automatically and exactly extract facial features with limited computational complexity.

Citation Download Citation

Ja-Ling Wu and Chun-Hung Lin "Automatic facial feature extraction by genetic algorithms", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334745

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