DocumentCode :
457102
Title :
Adaptive Processing of Face Emotion Tree Structures
Author :
Wong, Jia-Jun ; Cho, Siu-Yeung
Author_Institution :
Div. of Comput. Syst., Nanyang Technol. Univ., Singapore
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1184
Lastpage :
1187
Abstract :
This paper describes a novel recursive neural network for adaptive processing of face emotion tree structures (FEETS). We proposed to use tree structures to represent Gabor face emotion features. We demonstrated the robustness of our proposed system by testing against other well-known classifiers using the Cohn-Kanade AU-coded facial expression database (Cohn et al., 1997). The system yields an accuracy of about 93% and 57% for known and unknown subjects respectively
Keywords :
emotion recognition; face recognition; image classification; neural nets; tree data structures; visual databases; Gabor face emotion feature; adaptive processing; face emotion tree structure; facial expression database; recursive neural network; Emotion recognition; Face detection; Face recognition; Feature extraction; Image recognition; Lips; Neural networks; Nose; Pattern recognition; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.222
Filename :
1699101
Link To Document :
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