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