Automatic 3D Reconstruction for Face Recognition

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 ...

• Type: Conference
• Year: 2004
• Where: FGR
• Authors: Yuxiao Hu, Dalong Jiang, Shuicheng Yan, Lei Zhang, HongJiang Zhang
• Keywords: Biometrics, Face Recognition, FGR 2004, Personalized 3D Face, Single Frontal Face