模式识别与人工智能
模式識彆與人工智能
모식식별여인공지능
Pattern Recognition and Artificial Intelligence
2015年
9期
848-856
,共9页
人脸识别%多姿态人脸图像%人脸图像合成%人脸图像旋转度量
人臉識彆%多姿態人臉圖像%人臉圖像閤成%人臉圖像鏇轉度量
인검식별%다자태인검도상%인검도상합성%인검도상선전도량
Face Recognition%Multipose Face Image%Face Image Synthesis%Face Image Rotation Measurement
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。
由于人臉圖像的姿態變化會導緻識彆效果大幅下降，文中通過同一箇人的多張多姿態人臉圖像的融閤圖像識彆該人身份。從幾何信息與紋理信息兩箇層麵進行融閤，利用人臉圖像的幾何信息挑選待融閤圖像集閤以保證人臉信息的完整性。在現有的通用人臉數據庫的基礎上，利用網絡多姿態人臉圖像測試組測試原始圖像與融閤圖像的識彆率，結果錶明融閤後的圖像能穫得更好的識彆效果。
유우인검도상적자태변화회도치식별효과대폭하강，문중통과동일개인적다장다자태인검도상적융합도상식별해인신빈。종궤하신식여문리신식량개층면진행융합，이용인검도상적궤하신식도선대융합도상집합이보증인검신식적완정성。재현유적통용인검수거고적기출상，이용망락다자태인검도상측시조측시원시도상여융합도상적식별솔，결과표명융합후적도상능획득경호적식별효과。
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.
