DocumentCode :
319627
Title :
Multiresolution eigenface-components
Author :
Kouzani, A.Z. ; He, F. ; Sammut, K.
Author_Institution :
Sch. of Eng., Flinders Univ. of South Australia, Adelaide, SA, Australia
Volume :
1
fYear :
1997
fDate :
4-4 Dec. 1997
Firstpage :
353
Abstract :
This paper presents a face recognition system that imitates the multiresolution processing technique employed by the human visual system. In the proposed system, a different degree of importance is assigned to each part of a face image, and each region of the face image is processed with a different resolution. This proposed system reduces the computational complexity of the eigenface method, and achieves higher compression ratios and higher recognition rates in comparison with the eigenface method. Experimental results are presented and discussed.
Keywords :
computational complexity; data compression; eigenvalues and eigenfunctions; face recognition; image resolution; visual perception; compression ratios; computational complexity reduction; eigenface method; experimental results; face image region; face recognition system; human visual system; multiresolution eigenface-components; multiresolution processing; recognition rates; Face recognition; Humans; Image recognition; Image resolution; Multiresolution analysis; Photoreceptors; Principal component analysis; Retina; Spatial resolution; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld., Australia
Print_ISBN :
0-7803-4365-4
Type :
conf
DOI :
10.1109/TENCON.1997.647329
Filename :
647329
Link To Document :
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