多姿态人脸识别

Pose-Varied Face Recognition

人脸识别在很多场合都有重要的作用，传统的身份验证是采用某种识别号码等方法，但这难以阻止伪造的发生。由于人的视觉特征如面部、姿态等是相对稳定而且各不相同的，因此采用这些特征进行身份的识别是可行的。本文提出了一种处理多姿态人脸识别的多候选类加权识别方法，为了减少姿态变化的影响，提出了相应的预处理方法。图象质量是影响识别结果的重要因素之一，因此本文提出了一种评价图象质量的方法，实验表明，这种评价的结果是和识别结果紧密相联的，本文提出的识别方法在图象较为清晰的情况下。

Automatic face recognition/identification is very useful in some areas. Usually, an ID number is applied for that purpose. This can't prevent the forge ID to be used. The visual feature (such as face, gesture etc.) is relatively stable, and different between each other. So these information can be used to identify the human being. In this paper, a multi candidate based approach for pose varied face recognition is given. To reduce the affection of pose variety, some pre process methods are also applied. Actually, the quality of the image is a very important factor for automatic recognition, so a method for image quality estimation is proposed. The experiments show that the image quality is associated with the recognition result. When the input image is relatively clarity, it can reach a good recognition result.