An extreme case of the generalized optimal discriminant transformation and its application to face recognition

X-J Wu; J-P Lu; J-Y Yang; S-T Wang; J Kittler

doi:10.1016/j.neucom.2006.10.014

Back

An extreme case of the generalized optimal discriminant transformation and its application to face recognition

Conference presentation

Peer reviewed

An extreme case of the generalized optimal discriminant transformation and its application to face recognition

X-J Wu, J-P Lu, J-Y Yang, S-T Wang and J Kittler

NEUROCOMPUTING, Vol.70(4-6), pp.828-834

International Conference on Intelligent Computing (Hefei, PEOPLES R CHINA, 23/08/2005 - 26/08/2005)

01/01/2007

DOI: https://doi.org/10.1016/j.neucom.2006.10.014

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

COMPUTER SCIENCE

ARTIFICIAL INTELLIGENCE

pattern recognition

feature extraction

linear disciminant analysis (LDA)

generalized optimal set of discriminant vectors

face recognition

PCA

OPTIMAL SET

VECTORS

EIGENFACES

ALGORITHM

PLANE

Files and links (1)

url

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000244137700026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11d2a86992e85fb529977dad66a846d5View

Author

Metrics

30 Record Views

Details

Title: An extreme case of the generalized optimal discriminant transformation and its application to face recognition
Creators: X-J Wu
J-P Lu
J-Y Yang
S-T Wang
J Kittler
Contributors: ELSEVIER SCIENCE BV (Publisher)
Publication Details: NEUROCOMPUTING, Vol.70(4-6), pp.828-834
Conference: International Conference on Intelligent Computing (Hefei, PEOPLES R CHINA, 23/08/2005 - 26/08/2005)
Date published: 01/01/2007
Date submitted: 17/05/2017
Identifiers: 99512413802346
Academic Unit: University of Surrey
Resource Type: Conference presentation

An extreme case of the generalized optimal discriminant transformation and its application to face recognition

Abstract

Files and links (1)

Metrics

Details

Usage Policy