Automatic facial feature extraction by genetic algorithms

Author

Lin, Chun-Hung ; WU, JA-LING

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

8

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

834

Lastpage

845

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

Keywords

computational complexity; feature extraction; genetic algorithms; image matching; search problems; automatic facial feature extraction; computational complexity; face recognition; face region; face region estimation; genetic search algorithms; second-chance region growing method; simulation results; temple matching; Computational complexity; Data mining; Face detection; Face recognition; Facial features; Feature extraction; Genetic algorithms; Humans; Image edge detection; Video coding;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.766860

Filename

766860