Automatic 3D face verification from range data

In this paper, we presented a novel approach for automatic 3D face verification from range data. The method consists of range data registration and comparison. There are two steps in registration procedure: the coarse step conducting the normalization by exploiting a priori knowledge of the human face and facial features, and the fine step aligning the input data with the model stored in the database by the partial directed Hausdorff distance. To speed up the registration, a simplified version of the model is generated for each model in the model database. During the face comparison, the partial Hausdorff distance is employed as the similarity metric. The experiments are carried out on a database with 30 individuals and the best EER of 3.24% is achieved.

[1]  Zicheng Liu,et al.  Rapid modeling of animated faces from video , 2001, Comput. Animat. Virtual Worlds.

[2]  Sami Romdhani,et al.  Face identification across different poses and illuminations with a 3D morphable model , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[3]  Gaile G. Gordon,et al.  Face recognition based on depth maps and surface curvature , 1991, Optics & Photonics.

[4]  Gaile G. Gordon,et al.  Face recognition based on depth and curvature features , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[5]  Feng Han,et al.  3D human face recognition using point signature , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[6]  Evangelos E. Milios,et al.  Matching range images of human faces , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[7]  Daniel P. Huttenlocher,et al.  Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Matthew Turk,et al.  A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.

[9]  Larry S. Davis,et al.  Labeling of human face components from range data , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Marc Acheroy,et al.  Automatic 3D face authentication , 2000, Image Vis. Comput..

[11]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.