Title :
Applications of adaptive principal components extraction algorithm in the feature extraction of human face
Author :
Jun-ying, Gan ; You-Wei, Zhang ; Shi-yi, Mao
Author_Institution :
Inst. of Inf. Sci., Wuyi Univ., Guangdong, China
Abstract :
An adaptive principal component extraction algorithm (APEX) is presented based on principal component analysis (PCA), and a close relationship between the network model of the algorithm and statistical pattern recognition is revealed. Finally, the APEX algorithm is applied to the face database by Olivetti research laboratory (ORL), for face feature extraction. Simulation results demonstrate that it is a valid feature extraction method for face recognition
Keywords :
adaptive systems; face recognition; feature extraction; principal component analysis; APEX; APEX algorithm; PCA; adaptive principal component extraction algorithm; face database; face feature extraction; face recognition; human face; network model; statistical pattern recognition; Cities and towns; Data mining; Eigenvalues and eigenfunctions; Face recognition; Feature extraction; Humans; Iterative algorithms; Principal component analysis; Spatial databases; Vectors;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925401
