DocumentCode
2473990
Title
A study of non-frontal-view facial expressions recognition
Author
Hu, Yuxiao ; Zeng, Zhihong ; Yin, Lijun ; Wei, Xiaozhou ; Tu, Jilin ; Huang, Thomas S.
Author_Institution
Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
The existing methods of facial expression recognition are typically based on the near-frontal face data. The analysis of non-frontal-view facial expression is a largely unexplored research. The accessibility to a recent 3D facial expression database (BU-3DFE database) motivates us to explore an interesting question: whether non-frontal-view facial expression analysis can achieve the same as or better performance than the existing frontal-view facial expression method. Our extensive recognition experiments on data of 100 subjects with 5 yaw rotation view angles suggests that the non-frontal-view facial expression classification can outperform frontal-view facial expression recognition, given the manually labeled facial key points.
Keywords
emotion recognition; face recognition; image classification; 3D facial expression database; nonfrontal-view facial expression classification; nonfrontal-view facial expression recognition; Data analysis; Displays; Emotion recognition; Face recognition; Humans; Machine intelligence; Performance analysis; Prototypes; Psychology; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761052
Filename
4761052
Link To Document