loading...
A Multi-View Approach on Modular PCA for Illumination and Pose Invariant Face Recognition
Cosmos Club, Washington, DC October 13-October 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2004.433rd Applied Imagery Pattern Recognit ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Praveen Sankaran, Vijayan Asari, "A Multi-View Approach on Modular PCA for Illumination and Pose Invariant Face Recognition," Applied Image Pattern Recognition Workshop,, pp. 165-170, 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/AIPR.2004.4,
author = {Praveen Sankaran and Vijayan Asari},
title = {A Multi-View Approach on Modular PCA for Illumination and Pose Invariant Face Recognition},
journal ={Applied Image Pattern Recognition Workshop,},
volume = {0},
year = {2004},
issn = {1550-5219},
pages = {165-170},
doi = {http://doi.ieeecomputersociety.org/10.1109/AIPR.2004.4},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Applied Image Pattern Recognition Workshop,
TI - A Multi-View Approach on Modular PCA for Illumination and Pose Invariant Face Recognition
SN - 1550-5219
SP165
EP170
A1 - Praveen Sankaran,
A1 - Vijayan Asari,
PY - 2004
KW - null
VL - 0
JA - Applied Image Pattern Recognition Workshop,
ER -
 
Praveen Sankaran, Old Dominion University, Norfolk, VA
Vijayan Asari, Old Dominion University, Norfolk, VA
A modified approach on Modular PCA for face recognition is presented in this paper. The proposed changes aim to improve the recognition rates for modular PCA for face images with large variation in light and facial expression. The eyes form one of the most invariant regions on the face. A sub-image from this region is considered. Weight vectors from this region are appended to the existing weight vector for Modular PCA. The accuracies for the modified method, the original method and PCA method are evaluated under conditions of varying pose, illumination and expressions using standard face databases.
Citation:
Praveen Sankaran, Vijayan Asari, "A Multi-View Approach on Modular PCA for Illumination and Pose Invariant Face Recognition," aipr, pp.165-170, 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.