Automatic facial feature extraction by genetic algorithms

C H Lin; J L Wu

doi:10.1109/83.766860

Automatic facial feature extraction by genetic algorithms

IEEE Trans Image Process. 1999;8(6):834-45. doi: 10.1109/83.766860.

Authors

C H Lin¹, J L Wu

Affiliation

¹ Communication and Multimedia Labortory, Department of Computer Science and Information Engineering, National Taiwan University, Taipei, 106, Taiwan, ROC.

PMID: 18267496
DOI: 10.1109/83.766860

Abstract

An automatic facial feature extraction algorithm is presented. 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.