DocumentCode
356683
Title
Accurate extraction of human face area using subspace method and genetic algorithm
Author
Murakami, Makoto ; Yoneyama, Masahide ; Shirai, Katsuhiko
Author_Institution
Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan
Volume
1
fYear
2000
fDate
2000
Firstpage
411
Abstract
The human face has important information, such as eyes, expression and facial pose. To construct the interface using visual information, recognition is indispensable. The first point to be considered is the accurate extraction method of human faces from images with many kinds of background. In this paper, we propose an extraction method for human faces using the subspace method and genetic algorithm, then report the experimental results to be obtained
Keywords
face recognition; feature extraction; genetic algorithms; gesture recognition; accurate human face area extraction; genetic algorithm; images; subspace method; visual information; Covariance matrix; Data mining; Eyes; Face; Feature extraction; Genetic algorithms; Genetic engineering; Humans; Keyboards; Mice;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location
New York, NY
Print_ISBN
0-7803-6536-4
Type
conf
DOI
10.1109/ICME.2000.869627
Filename
869627
Link To Document