2D Principal Component Analysis for Face and Facial-Expression Recognition

被引：28

作者：

Oliveira, Luiz S. ^{[1
]}

Koerich, Alessandro L. ^{[3
]}

Mansano, Marcelo

Britto, Alceu S., Jr. ^{[2
]}

机构：

[1] Univ Fed Parana, Dept Informat, Grad Program Comp Sci, BR-80060000 Curitiba, Parana, Brazil

[2] Pontificia Univ Catolica Parana, Postgrad Program Appl Informat, Curitiba, Parana, Brazil

[3] Univ Fed Parana, Dept Elect Engn, BR-80060000 Curitiba, Parana, Brazil

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2011年 / 13卷 / 03期

关键词：

2-DIMENSIONAL PCA; REPRESENTATION; METHODOLOGY; ALGORITHMS;

D O I：

10.1109/MCSE.2010.149

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Although it shows enormous potential as a feature extractor, 2D principal component analysis produces numerous coefficients. Using a feature-selection algorithm based on a multiobjective genetic algorithm to analyze and discard irrelevant coefficients offers a solution that considerably reduces the number of coefficients, while also improving recognition rates.

引用

页码：9 / 13

页数：5

共 11 条

[1] Recognition of facial expressions using Gabor wavelets and learning vector quantization
Bashyal, Shishir
Venayagamoorthy, Ganesh K.
[J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2008, 21 (07) : 1056 - 1064
[2] Britto A.S., 2010, Proc. 17th IntT Conf. Systems, P490
[3] An Automatic Region Based Methodology for Facial Expression Recognition
Koutlas, Anastasios
Fotiadis, Dimitrios I.
[J]. 2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6, 2008, : 662 - +
[4] Comparison of algorithms that select features for pattern classifiers
Kudo, M
Sklansky, J
[J]. PATTERN RECOGNITION, 2000, 33 (01) : 25 - 41
[5] A methodology for feature selection using multiobjective genetic algorithms for handwritten digit string recognition
Oliveira, LS
Sabourin, R
Bortolozzi, F
Suen, CY
[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2003, 17 (06) : 903 - 929
[6] Facial expression recognition based on Local Binary Patterns: A comprehensive study
Shan, Caifeng
Gong, Shaogang
McOwan, Peter W.
[J]. IMAGE AND VISION COMPUTING, 2009, 27 (06) : 803 - 816
[7] EIGENFACES FOR RECOGNITION
TURK, M
PENTLAND, A
[J]. JOURNAL OF COGNITIVE NEUROSCIENCE, 1991, 3 (01) : 71 - 86
[8] Robust real-time face detection
Viola, P
Jones, MJ
[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 57 (02) : 137 - 154
[9] Two-dimensional PCA: A new approach to appearance-based face representation and recognition
Yang, J
Zhang, D
Frangi, AF
Yang, JY
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2004, 26 (01) : 131 - 137
[10] (2D)2PCA:: Two-directional two-dimensional PCA for efficient face representation and recognition
Zhang, DQ
Zhou, ZH
[J]. NEUROCOMPUTING, 2005, 69 (1-3) : 224 - 231

← 1 2 →