Knowledge Commons of Institute of Automation,CAS
Classifier Learning with Prior Probabilities for Facial Action Unit Recognition | |
Yong Zhang; Weiming Dong; Bao-Gang Hu; Qiang Ji | |
2018-06 | |
会议名称 | 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
会议录名称 | IEEE/CVF Conference on Computer Vision and Pattern Recognition |
会议日期 | 2018-6 |
会议地点 | Salt Lake City, Utah |
摘要 | 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. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23903 |
专题 | 多模态人工智能系统全国重点实验室_三维可视计算 |
通讯作者 | Qiang Ji |
作者单位 | 1.NLPR, Institute of Automation, Chinese Academy of Sciences 2.Rensselaer Polytechnic Institute 3.University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Yong Zhang,Weiming Dong,Bao-Gang Hu,et al. Classifier Learning with Prior Probabilities for Facial Action Unit Recognition[C],2018. |
条目包含的文件 | 条目无相关文件。 |
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