Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2009.5410482
Title: Modified HMAX models for facial expression recognition
Authors: Gu, W.
Xiang, C. 
Lin, H. 
Keywords: Facial expression recognition
Hebbian learning
HMAX
Local method
Issue Date: 2009
Source: Gu, W., Xiang, C., Lin, H. (2009). Modified HMAX models for facial expression recognition. 2009 IEEE International Conference on Control and Automation, ICCA 2009 : 1509-1514. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2009.5410482
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. ©2009 IEEE.
Source Title: 2009 IEEE International Conference on Control and Automation, ICCA 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/51213
ISBN: 9781424447060
DOI: 10.1109/ICCA.2009.5410482
Appears in Collections:Staff Publications

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