Automatic 3D reconstruction for face recognition

  • Authors:
  • Yuxiao Hu;Dalong Jiang;Shuicheng Yan;Lei Zhang;Hongjiang Zhang

  • Affiliations:
  • Microsoft Research, Asia, Beijing, China;Inst. of Computing Tech., Chinese Academy of Sci., Beijing, China;School of Mathematical Sci., Peking University, Beijing, China;Microsoft Research, Asia, Beijing, China;Microsoft Research, Asia, Beijing, China

  • Venue:
  • FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
  • Year:
  • 2004

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Abstract

An analysis-by-synthesis framework for face recognition with variant pose, illumination and expression (PIE) is proposed in this paper. First, an efficient 2D-to-3D integrated face reconstruction approach is introduced to reconstruct a personalized 3D face model from a single frontal face image with neutral expression and normal illumination; Then, realistic virtual faces with different PIE are synthesized based on the personalized 3D face to characterize the face subspace; Finally, face recognition is conducted based on these representative virtual faces. Compared with other related works, this framework has the following advantages: 1) only one single frontal face is required for face recognition, which avoids the burdensome enrollment work; 2) the synthesized face samples provide the capability to conduct recognition under difficult conditions like complex PIE; and 3) the proposed 2D-to-3D integrated face reconstruction approach is fully automatic and more efficient. The extensive experimental results show that the synthesized virtual faces significantly improve the accuracy of face recognition with variant PIE.