DocumentCode
597803
Title
Facial expression representation and classification using 2DPCA
Author
Le Hoang Thai ; Do Thi Thanh Ha
Author_Institution
Univ. of Sci.-Vietnam Nat. Univ., Ho Chi Minh City, Vietnam
fYear
2012
fDate
26-29 Nov. 2012
Firstpage
42
Lastpage
47
Abstract
This paper´s purpose is to compare the performance between the two feature extraction methods PCA and 2DPCA by applying them to feature extraction stage in the facial expression classification model. To test and evaluate their performance, we performed experiments on two face image databases: JAFFE and YALE. The experimental results also indicated that the performance and speed of 2DPCA are better than PCA in feature extraction capabilities.
Keywords
face recognition; feature extraction; image classification; image representation; principal component analysis; visual databases; 2DPCA; JAFFE; YALE; face image databases; facial expression classification; facial expression representation; feature extraction methods; Covariance matrix; Databases; Face; Feature extraction; Principal component analysis; Training; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Information Sciences (ICCAIS), 2012 International Conference on
Conference_Location
Ho Chi Minh City
Print_ISBN
978-1-4673-0812-0
Type
conf
DOI
10.1109/ICCAIS.2012.6466628
Filename
6466628
Link To Document