基于图像合成的多姿态人脸图像识别方法

摘要

Pose variations of face images make recognition rate decrease significantly. The fused face image gained by several multi-pose face images of the same person is used to identify the face information of this person. The proposed fusion method includes texture information and geometry information, and the face image sets for fusion are selected through geometry information of face images to guarantee the integrity of the face information. On the basis of existing face databases, the recognition rates of the original face images and the fused face images composed of multi-pose face images from internet are tested respectively. The recognition results show that the fusion method achieves higher recognition rate.%由于人脸图像的姿态变化会导致识别效果大幅下降，文中通过同一个人的多张多姿态人脸图像的融合图像识别该人身份。从几何信息与纹理信息两个层面进行融合，利用人脸图像的几何信息挑选待融合图像集合以保证人脸信息的完整性。在现有的通用人脸数据库的基础上，利用网络多姿态人脸图像测试组测试原始图像与融合图像的识别率，结果表明融合后的图像能获得更好的识别效果。