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。
This paper designs a multi-view faces detection system based on the viola's face detection algorithm.
本文以该算法为基础设计了一个多姿态的人脸检测系统。
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。
Besides, the paper focuses on the standardization of face image, the normalization and synthesis of multi-pose face image from a single view.
对其中的人脸图像标准化方法、归一化处理和由单视图生成多姿态人脸图像等关键技术进行了重点探讨。
Besides, the paper focuses on the standardization of face image, the normalization and synthesis of multi-pose face image from a single view.
对其中的人脸图像标准化方法、归一化处理和由单视图生成多姿态人脸图像等关键技术进行了重点探讨。
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