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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 | Citation: | 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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