Automatic facial feature extraction by applying genetic algorithms
Journal
International Conference on Neural Networks
Journal Volume
3
Pages
1363-1367
Date Issued
1997-06
Date
1997-06
Author(s)
Lin, Chun-Hung
DOI
N/A
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. © 1997 IEEE.
Other Subjects
Face regions; Facial feature; Facial feature extraction; Facial feature points; Genetic search algorithms; Region growing methods; Target images; Algorithms; Estimation; Neural networks; Computational complexity; Computer simulation; Genetic algorithms; Parameter estimation; Feature extraction; Automatic facial feature extraction
Type
conference paper
File(s)![Thumbnail Image]()
Loading...
Name
00613985.pdf
Size
402.34 KB
Format
Adobe PDF
Checksum
(MD5):bdc5441345f5c7ed90771db00a72aa74