Human face image retrieval system for large database

P. C. Yuen; G. C. Feng; D. Q. Dai

doi:10.1109/ICPR.1998.712015

Human face image retrieval system for large database

P. C. Yuen
, G. C. Feng
, D. Q. Dai

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

4 Citations (Scopus)

Abstract

This paper addresses the speed problem in a human face image retrieval system from a large database. A novel method based on the wavelet transform and principal component analysis (PCA) is developed and presented. The computational load of the proposed method is greatly reduced compared with the original PCA based method. Moreover, the accuracy of the proposed method is improved.

Original language	English
Title of host publication	Proceedings - 14th International Conference on Pattern Recognition, ICPR 1998
Publisher	IEEE
Pages	1585-1588
Number of pages	4
ISBN (Print)	0818685123, 9780818685125
DOIs	https://doi.org/10.1109/ICPR.1998.712015
Publication status	Published - 20 Aug 1998
Event	14th International Conference on Pattern Recognition, ICPR 1998 - Brisbane, QLD, Australia Duration: 20 Aug 1998 → 20 Aug 1998 https://doi.org/10.1109/ICPR.1998 (Conference proceeding)

Publication series

Name	Proceedings - International Conference on Pattern Recognition
ISSN (Print)	1051-4651

Conference

Conference	14th International Conference on Pattern Recognition, ICPR 1998
Abbreviated title	ICPR 1998
Country/Territory	Australia
City	Brisbane, QLD
Period	20/08/98 → 20/08/98
Internet address	https://doi.org/10.1109/ICPR.1998 (Conference proceeding)

User-Defined Keywords

Image database
Principal component analysis
Wavelet transform

Access to Document

10.1109/ICPR.1998.712015

Cite this

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title = "Human face image retrieval system for large database",

abstract = "This paper addresses the speed problem in a human face image retrieval system from a large database. A novel method based on the wavelet transform and principal component analysis (PCA) is developed and presented. The computational load of the proposed method is greatly reduced compared with the original PCA based method. Moreover, the accuracy of the proposed method is improved.",

keywords = "Image database, Principal component analysis, Wavelet transform",

author = "Yuen, \{P. C.\} and Feng, \{G. C.\} and Dai, \{D. Q.\}",

note = "Publisher Copyright: IEEE Xplore; 14th International Conference on Pattern Recognition, ICPR 1998, ICPR 1998 ; Conference date: 20-08-1998 Through 20-08-1998",

year = "1998",

month = aug,

day = "20",

doi = "10.1109/ICPR.1998.712015",

language = "English",

isbn = "0818685123",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "IEEE",

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booktitle = "Proceedings - 14th International Conference on Pattern Recognition, ICPR 1998",

address = "United States",

url = "https://doi.org/10.1109/ICPR.1998",

}

Yuen, PC, Feng, GC & Dai, DQ 1998, Human face image retrieval system for large database. in Proceedings - 14th International Conference on Pattern Recognition, ICPR 1998. Proceedings - International Conference on Pattern Recognition, IEEE, pp. 1585-1588, 14th International Conference on Pattern Recognition, ICPR 1998, Brisbane, QLD, Australia, 20/08/98. https://doi.org/10.1109/ICPR.1998.712015

TY - GEN

T1 - Human face image retrieval system for large database

AU - Yuen, P. C.

AU - Feng, G. C.

AU - Dai, D. Q.

N1 - Publisher Copyright: IEEE Xplore

PY - 1998/8/20

Y1 - 1998/8/20

N2 - This paper addresses the speed problem in a human face image retrieval system from a large database. A novel method based on the wavelet transform and principal component analysis (PCA) is developed and presented. The computational load of the proposed method is greatly reduced compared with the original PCA based method. Moreover, the accuracy of the proposed method is improved.

AB - This paper addresses the speed problem in a human face image retrieval system from a large database. A novel method based on the wavelet transform and principal component analysis (PCA) is developed and presented. The computational load of the proposed method is greatly reduced compared with the original PCA based method. Moreover, the accuracy of the proposed method is improved.

KW - Image database

KW - Principal component analysis

KW - Wavelet transform

UR - https://www.scopus.com/pages/publications/105035477059

U2 - 10.1109/ICPR.1998.712015

DO - 10.1109/ICPR.1998.712015

M3 - Conference proceeding

AN - SCOPUS:105035477059

SN - 0818685123

SN - 9780818685125

T3 - Proceedings - International Conference on Pattern Recognition

SP - 1585

EP - 1588

BT - Proceedings - 14th International Conference on Pattern Recognition, ICPR 1998

PB - IEEE

T2 - 14th International Conference on Pattern Recognition, ICPR 1998

Y2 - 20 August 1998 through 20 August 1998

ER -

Human face image retrieval system for large database

Abstract

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User-Defined Keywords

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