Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29826
Title: An efficient human face indexing scheme using eigenfaces
Authors: Lin, KH
Lam, KM 
Xie, XD
Siu, WC 
Issue Date: 2003
Source: Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, 2003, v. 2, 1280750, p. 920-923 How to cite?
Abstract: We propose an efficient indexing structure for searching a human face in a large database. In our method, a set of eigenfaces is computed based on the faces in the database. Each face in the database is then ranked according to its projection onto each of the eigenfaces. A query input will be ranked similarly, and the corresponding nearest faces in the ranked position with respect to each of the eigenfaces are selected from the database. These selected faces will then form a small database, namely a condensed database, for face recognition, instead of considering the original large database. In the experiments, the effect of the number of eigenfaces used on the size of the condensed database is investigated. Experimental results show that the size of the condensed database is 35% of the original large database when 25% of the eigenfaces with the largest eigenvalues are selected. The processing time required to generate the condensed database is less than one second.
Description: 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, 14-17 December 2003
URI: http://hdl.handle.net/10397/29826
ISBN: 0780377028
9780780377028
DOI: 10.1109/ICNNSP.2003.1280750
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

7
Last Week
0
Last month
0
Citations as of Oct 11, 2017

Page view(s)

37
Last Week
0
Last month
Checked on Oct 15, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.