Please use this identifier to cite or link to this item:
|Title:||Modified HMAX models for facial expression recognition|
|Keywords:||Facial expression recognition|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 16, 2018
WEB OF SCIENCETM
checked on Jul 31, 2018
checked on May 5, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.