机译:跨姿势人脸识别-使用基于聚类的LVTM的虚拟视图生成方法
The authors are with the Graduate School of Information Science, Nagoya University, Nagoya-shi, 464-8601 Japan;
The authors are with the Graduate School of Information Science, Nagoya University, Nagoya-shi, 464-8601 Japan,The author is with the Faculty of Economics and Information,Gifu Shotoku Gakuen University, Gifu-shi, 500-8288 Japan;
The author is with Information and Communications Headquarters, Nagoya University, Nagoya-shi, 464-8601 Japan;
The authors are with the Graduate School of Information Science, Nagoya University, Nagoya-shi, 464-8601 Japan;
The authors are with the Graduate School of Information Science, Nagoya University, Nagoya-shi, 464-8601 Japan;
face recognition; pose invariant; clustering; local view transition model;
机译:跨姿势人脸识别-使用基于聚类的LVTM的虚拟视图生成方法
机译:使用LVTM和局部补丁聚类的虚拟正面视图生成人脸识别
机译:使用LVTM和局部补丁聚类的虚拟正面视图生成人脸识别
机译:结合基于视图的姿势归一化和特征变换以进行跨姿势人脸识别
机译:通过模糊聚类和基于Hough变换的方法进行对象识别的鲁棒方法。
机译:通过新的基于聚类的加权相似度极限学习机方法进行虚拟筛选
机译:基于多个虚拟视图和对齐误差的跨姿势人脸识别