DocumentCode :
312573
Title :
Extraction of the human face from natural background using GAs
Author :
Suzuki, Yuya ; Saito, Hideo ; Ozawa, Shinji
Author_Institution :
Dept. of Electr. Eng., Keio Univ., Japan
Volume :
1
fYear :
1996
fDate :
26-29 Nov 1996
Firstpage :
221
Abstract :
The study of human face recognition is becoming more and more popular. For these tasks, there is a need to cut off the facial region from the image. Here we propose a method which can automatically cut off the full human facial region from an image with natural background by the use of genetic algorithms and SNAKES. The use of genetic algorithms enables to search globally for the approximate size and position of the face and SNAKES enables to search robustly from this approximate contour to a more specific contour
Keywords :
face recognition; feature extraction; genetic algorithms; image segmentation; SNAKES; approximate contour; face recognition; facial region; genetic algorithms; human face extraction; natural background; Counting circuits; Face detection; Filters; Genetic algorithms; Gold; Hair; Head; Humans; Image edge detection; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
Type :
conf
DOI :
10.1109/TENCON.1996.608796
Filename :
608796
Link To Document :
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