Frontal face synthesis based on multiple pose-variant images for face recognition

Authors:
Congcong Li;Guangda Su;Yan Shang;Yingchun Li
Affiliations:
Electronic Engineering Department, Tsinghua University, Beijing, China;Electronic Engineering Department, Tsinghua University, Beijing, China;Electronic Engineering Department, Tsinghua University, Beijing, China;Electronic Engineering Department, Tsinghua University, Beijing, China
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

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Abstract

Pose variance remains a challenging problem for face recognition. In this paper, a stereoscopic synthesis method for generating a frontal face image is proposed to improve the performance of automatic face recognition system. Through this method, a frontal face image is generated based on two posevariant face images. Before the synthesis, face pose estimation, feature point extraction and alignment are executed on the two non-frontal images. Benefited from the high accuracy of pose estimation and alignment, the composed frontal face retains the most important features of the two corresponding nonfrontal face images. Experiment results show that using the synthetic frontal image achieves a better recognition rate than using the non-frontal ones.