机译:深度时空特征融合用于静态图像中的面部表情识别
Nanjing Univ Posts & Telecommun, Minist Educ, Engn Res Ctr Wideband Wireless Commun Technol, Nanjing 210003, Jiangsu, Peoples R China;
Nanjing Univ Posts & Telecommun, Minist Educ, Engn Res Ctr Wideband Wireless Commun Technol, Nanjing 210003, Jiangsu, Peoples R China;
Nanjing Univ Posts & Telecommun, Minist Educ, Engn Res Ctr Wideband Wireless Commun Technol, Nanjing 210003, Jiangsu, Peoples R China;
Nanjing Univ Posts & Telecommun, Minist Educ, Engn Res Ctr Wideband Wireless Commun Technol, Nanjing 210003, Jiangsu, Peoples R China;
Nanjing Univ Posts & Telecommun, Minist Educ, Engn Res Ctr Wideband Wireless Commun Technol, Nanjing 210003, Jiangsu, Peoples R China;
Facial expression recognition; Deep neural network; Optical flow; Spatial-temporal feature fusion; Transfer learning;
机译:静态图像中人脸表情识别的广泛特征集方法
机译:面部表情识别使用Mo-Hog和深度的迭代融合
机译:面部表情在野外,通过融合深度学习和手工制作的功能
机译:通过特征提取与端到端模型分类的融合来识别面部变化的深度面部表情
机译:使用差异演化算法选择特征来从图片材料中识别人的情感表达
机译:从显着面部区域提取融合特征的面部表情识别
机译:从静态人脸图像进行面部表情分析的面部动作识别