Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Classifier Learning with Prior Probabilities for Facial Action Unit Recognition | |
Yong Zhang![]() ![]() ![]() | |
2018-06 | |
Conference Name | 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
Source Publication | IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Conference Date | 2018-6 |
Conference Place | Salt Lake City, Utah |
Abstract | Facial action units (AUs) play an important role in human emotion understanding. One big challenge for data-driven AU recognition approaches is the lack of enough AU annotations, since AU annotation requires strong domain expertise. To alleviate this issue, we propose a knowledge-driven method for jointly learning multiple AU classifiers without any AU annotation by leveraging prior probabilities on AUs, including expression-independent and expression-dependent AU probabilities. These prior probabilities are drawn from facial anatomy and emotion studies, and are independent of datasets. We incorporate the prior probabilities on AUs as the constraints into the objective function of multiple AU classifiers, and develop an efficient learning algorithm to solve the formulated problem. Experimental results on five benchmark expression databases demonstrate the effectiveness of the proposed method, especially its generalization ability, and the power of the prior probabilities. |
Indexed By | EI |
Language | 英语 |
Document Type | 会议论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/23903 |
Collection | 模式识别国家重点实验室_三维可视计算 |
Corresponding Author | Qiang Ji |
Affiliation | 1.NLPR, Institute of Automation, Chinese Academy of Sciences 2.Rensselaer Polytechnic Institute 3.University of Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Yong Zhang,Weiming Dong,Bao-Gang Hu,et al. Classifier Learning with Prior Probabilities for Facial Action Unit Recognition[C],2018. |
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