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» A 3D Facial Expression Database For Facial Behavior Research
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FGR
2006
IEEE
284views Biometrics» more  FGR 2006»
9 years 2 months ago
A 3D Facial Expression Database For Facial Behavior Research
Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations....
Lijun Yin, Xiaozhou Wei, Yi Sun, Jun Wang, Matthew...
FGR
2008
IEEE
229views Biometrics» more  FGR 2008»
9 years 2 months ago
A high-resolution 3D dynamic facial expression database
Face information processing relies on the quality of data resource. From the data modality point of view, a face database can be 2D or 3D, and static or dynamic. From the task poi...
Lijun Yin, Xiaochen Chen, Yi Sun, Tony Worm, Micha...
CVPR
2006
IEEE
9 years 10 months ago
3D Facial Expression Recognition Based on Primitive Surface Feature Distribution
The creation of facial range models by 3D imaging systems has led to extensive work on 3D face recognition [19]. However, little work has been done to study the usefulness of such...
Jun Wang, Lijun Yin, Xiaozhou Wei, Yi Sun
ICPR
2008
IEEE
9 years 2 months ago
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...
Yuxiao Hu, Zhihong Zeng, Lijun Yin, Xiaozhou Wei, ...
ECCV
2008
Springer
9 years 10 months ago
Facial Expression Recognition Based on 3D Dynamic Range Model Sequences
Traditionally, facial expression recognition (FER) issues have been studied mostly based on modalities of 2D images, 2D videos, and 3D static models. In this paper, we propose a sp...
Yi Sun, Lijun Yin
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