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
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;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.869627
