机译:姿势鲁棒特征学习用于面部表情识别
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China;
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China;
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China;
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China;
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China;
facial expression recognition; pose-robust features; principal component analysis network (PCANet); con-volutional neural networks (CNN);
机译:多视角成对条件随机森林的动态姿态鲁棒表情识别
机译:多视图成对条件随机林的动态姿态强大的面部表情识别
机译:使用基于视图的2D $ + $ 3D AAM进行姿势鲁棒的面部表情识别
机译:3D可变模型学习的姿势强制面部表情识别
机译:一种用于面部表情和特征识别的分布式相关方法。
机译:深度特征和极端学习机的教师面部表情识别
机译:多视图成对动态姿态 - 鲁棒面部表情识别 条件随机森林