A Novel Facial Localization for Three-dimensional Face Using Multi-level Partition of Unity Implicits

This paper presents a novel facial localization method for 3D face in the presence of facial pose and expression variation. An idea of using Multi-level Partition of Unity (MPU) Implicits in a hierarchical way is proposed for reconstruction of face surface. Based on the analysis of curvature features, nose and eyeholes regions can be detected on lower level reconstructed face surface uniquely. Experimental results show that this method is invariant to pose, holes, noise and expression. The overall performance of 99.18% is achieved.

[1]  Ramesh C. Jain,et al.  Invariant surface characteristics for 3D object recognition in range images , 1985, Comput. Vis. Graph. Image Process..

[2]  Raimondo Schettini,et al.  3D face detection using curvature analysis , 2006, Pattern Recognit..

[3]  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.

[4]  T. Banchoff,et al.  Differential Geometry of Curves and Surfaces , 2010 .

[5]  José F. Vélez,et al.  Face recognition using 3D surface extracted descriptors , 2003 .

[6]  Manfredo P. do Carmo,et al.  Differential geometry of curves and surfaces , 1976 .

[7]  H. Seidel,et al.  Multi-level partition of unity implicits , 2003 .