机译:通过标签依赖性增强面部动作单元的识别和强度估计
Key Laboratory of Computing and Communication Software of Anhui Province, the School of Computer Science and Technology, and the School of Data Science, University of Science and Technology of China, Hefei, China;
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China;
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, NY, USA;
Gold; Estimation; Bayes methods; Task analysis; Face recognition; Databases; Training;
机译:基于缺失标签的多标签学习的不完全数据下的面部动作单元识别
机译:缺少标签的多标签学习,用于图像注释和面部动作单元识别
机译:颜色特征的判别功能学习以识别面部动作单位及其强度
机译:带有上下文感知的特征和标签融合,用于带有部分标签数据的面部动作单元强度估计
机译:使用隐马尔可夫模型自动识别面部表情并估算表情强度。
机译:学习时空提示和多标签采样的面部动作单位
机译:在面部表情识别和动作单位强度估计中概括了看不见的头部姿势