A study of non-frontal-view facial expressions recognition

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 frontalview facial expression recognition, given the manually labeled facial key points.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Yuxiao Hu, Zhihong Zeng, Lijun Yin, Xiaozhou Wei, Jilin Tu, Thomas S. Huang
• Keywords: Computer Vision, Facial Expression, Facial Expression Recognition, ICPR 2008, Non-frontal-view Facial Expression