This paper is a study of the recognition of pose varied human faces images.
本文主要研究静止图像的多姿态人脸识别。
A face recognition approach correlative with poses is presented for recognizing pose varied human faces.
针对多姿态人脸识别的情况提出了一种姿态相关的人脸识别方法。
Experiments results show that the new method gains better recognition rate than eigenfaces, especially for pose varied human faces.
实验结果表明，改进后的方法对于识别多姿态人脸达到很好的效果，正确识别率比特征脸法有很大提高。
The paper presents a method of pose-varied face recognition based on neural network and hierarchical support vector machines.
提出了一种基于神经网络和层次支持向量机的多姿态人脸识别方法。
The experiment result shows that the method has very good classification capability and high recognition rate for pose-varied faces.
实验表明该方法对表情和姿态变化的人脸具有良好的分类性能和识别效率。
The experiment result shows that the method has very good classification capability and high recognition rate for pose-varied faces.
实验表明该方法对表情和姿态变化的人脸具有良好的分类性能和识别效率。
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