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
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;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761052