Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761052 | ICPR |
Keywords | Field | DocType |
face recognition,nonfrontal-view facial expression classification,3d facial expression database,emotion recognition,image classification,nonfrontal-view facial expression recognition,facial expression | Computer vision,Facial recognition system,Face hallucination,Facial expression recognition,Three-dimensional face recognition,Pattern recognition,Emotion recognition,Computer science,Facial expression,Artificial intelligence,Contextual image classification,Yaw | Conference |
ISSN | ISBN | Citations |
1051-4651 E-ISBN : 978-1-4244-2175-6 | 978-1-4244-2175-6 | 37 |
PageRank | References | Authors |
1.45 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxiao Hu | 1 | 2209 | 103.06 |
| Zhihong Zeng | 2 | 1666 | 70.62 |
| Lijun Yin | 3 | 1746 | 98.05 |
| Xiaozhou Wei | 4 | 690 | 27.96 |
| Jilin Tu | 5 | 342 | 21.34 |
| Thomas S. Huang | 6 | 27815 | 2618.42 |