Title :
Facial Expression Recognition Based on Classifier Combinations
Author :
Zilu, Ying ; Jingwen, Li ; Youwei, Zhang
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing
Abstract :
This paper introduces facial expression recognition by combining multiple classifiers. It describes in detail the principles of various classifier combination schemes. Extensive experiments of these classifier combination schemes on both the Japanese female facial expression database and the Cohn-Kanade AU-coded facial expression database are given. The results show that it is an effective approach to further increase the recognition rate by classifier combinations
Keywords :
face recognition; image classification; visual databases; Japanese female facial expression database; classifier combination schemes; facial expression recognition; multiple classifiers; Data mining; Databases; Face detection; Face recognition; Feature extraction; Linear discriminant analysis; Matrices; Principal component analysis; Statistical analysis; Testing;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345887