Multiresolution eigenface-components

A. Z. Kouzani; F. He; K. Sammut

doi:10.1109/TENCON.1997.647329

Multiresolution eigenface-components

A. Z. Kouzani, F. He, K. Sammut

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	TENCON '97 Brisbane - Australia
Subtitle of host publication	Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications
Pages	353-356
Number of pages	4
DOIs	https://doi.org/10.1109/TENCON.1997.647329
Publication status	Published - 1997
Event	IEEE TENCON '97: IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications - Queensland University of Technology, Brisbane, Australia Duration: 2 Dec 1997 → 4 Dec 1997

Conference

Conference	IEEE TENCON '97
Abbreviated title	TENCON '97
Country/Territory	Australia
City	Brisbane
Period	2/12/97 → 4/12/97

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10.1109/TENCON.1997.647329Licence: In Copyright

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title = "Multiresolution eigenface-components",

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.",

author = "Kouzani, {A. Z.} and F. He and K. Sammut",

year = "1997",

doi = "10.1109/TENCON.1997.647329",

language = "English",

isbn = "0-7803-4365-4",

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booktitle = "TENCON '97 Brisbane - Australia",

note = "IEEE TENCON '97 : IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications, TENCON '97 ; Conference date: 02-12-1997 Through 04-12-1997",

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T1 - Multiresolution eigenface-components

AU - Kouzani, A. Z.

AU - He, F.

AU - Sammut, K.

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0031362509&partnerID=8YFLogxK

U2 - 10.1109/TENCON.1997.647329

DO - 10.1109/TENCON.1997.647329

M3 - Conference contribution

AN - SCOPUS:0031362509

SN - 0-7803-4365-4

SP - 353

EP - 356

BT - TENCON '97 Brisbane - Australia

T2 - IEEE TENCON '97

Y2 - 2 December 1997 through 4 December 1997

ER -

Multiresolution eigenface-components

Abstract

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