DocumentCode
3429996
Title
Modified HMAX models for facial expression recognition
Author
Gu, Wenfei ; Xiang, Cheng ; Lin, Hai
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
1509
Lastpage
1514
Abstract
Three variants of HMAX model are proposed in this paper for recognizing facial expressions of novel faces. The expressions under consideration are: happy, sad, angry, surprised, disgusted, scared and neutral. The modifications are based on recent biological findings about face processing procedure in human brain. Computational results on two different facial expression databases show the efficiency of modified HMAX models compared to the original one.
Keywords
face recognition; facial expression database; facial expression recognition; human brain; modified HMAX model efficiency; Biological system modeling; Biology computing; Brain modeling; Computer architecture; Face detection; Face recognition; Gabor filters; Humans; Object recognition; Power system modeling; HMAX; Hebbian learning; facial expression recognition; local method;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location
Christchurch
Print_ISBN
978-1-4244-4706-0
Electronic_ISBN
978-1-4244-4707-7
Type
conf
DOI
10.1109/ICCA.2009.5410482
Filename
5410482
Link To Document