Chapter

Advances in Biometrics

Volume 5558 of the series Lecture Notes in Computer Science pp 347-356

Synthesizing Frontal Faces on Calibrated Stereo Cameras for Face Recognition

  • Kin-Wang CheungAffiliated withThe Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T.
  • , Jiansheng ChenAffiliated withThe Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T.
  • , Yiu-Sang MoonAffiliated withThe Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T.

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Abstract

Current automatic face recognition systems often require users to face towards the capturing camera. To extent these systems for user non-intrusive application scenarios such as video surveillance, we propose a stereo camera configuration to synthesize a frontal face image from two non-frontal face images. After the head pose has been estimated, a frontal face image is synthesized using face warping and view morphing techniques. Face identification experiments reveal that using the synthetic frontal images can achieve comparable performance with real frontal face images.