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
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;
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
DOI :
10.1109/ICCA.2009.5410482
