Therefore, the research on multi-view face recognition is of significant importance in practice.
因此,研究多姿态人脸识别问题具有重要的现实意义。
The candidate eye, nose and mouth regions are filtered and merged to refine their location on the multi-view face.
对候选眼、鼻及嘴区域进行筛选与合并以确定最佳位置,实现多姿态人脸上五官的准确定位。
Finally, view information of face images is extracted and modeled by TSA for the purpose of view estimation, which is followed by the multi-view face recognition.
最后,利用张量子空间分析分离出人脸图像的姿态信息并对其进行建模,实现人脸姿态估计,进而实现多姿态人脸识别。
Finally, view information of face images is extracted and modeled by TSA for the purpose of view estimation, which is followed by the multi-view face recognition.
最后,利用张量子空间分析分离出人脸图像的姿态信息并对其进行建模,实现人脸姿态估计,进而实现多姿态人脸识别。
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