Personalized cyber face: a novel facial modeling approach using multi-level radial basis function

In this paper, we propose a facial modeling system using our novel multilevel adaption procedure. We model a template head model with physical structure to synthesize the various facial expressions. To make the template model suitable for different facial geometry, landmarks compliant to MPEG-4 facial definition parameters (FDP) are labeled on this model. Then another personalized 3D head with different geometrical information is labeled with a subset of these feature points. An iterative multilevel training process is performed to get a transformation function from the template model to the personalized model. We use compactly supported radial basis function (CSRBF) to assure the locality detail of the adapted model. A curvature based searching scheme is also used to find the feature points in the iterative process

[1]  Armin Iske,et al.  Multilevel scattered data approximation by adaptive domain decomposition , 2005, Numerical Algorithms.

[2]  Greg Turk,et al.  Reconstructing surfaces using anisotropic basis functions , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[3]  Jun-yong Noh,et al.  Animated deformations with radial basis functions , 2000, VRST '00.

[4]  Hans-Peter Seidel,et al.  A multi-scale approach to 3D scattered data interpolation with compactly supported basis functions , 2003, 2003 Shape Modeling International..

[5]  Fabio Lavagetto,et al.  The facial animation engine: toward a high-level interface for the design of MPEG-4 compliant animated faces , 1999, IEEE Trans. Circuits Syst. Video Technol..

[6]  Nadia Magnenat-Thalmann,et al.  Facial deformations for MPEG-4 , 1998, Proceedings Computer Animation '98 (Cat. No.98EX169).

[7]  Mark Meyer,et al.  Discrete Differential-Geometry Operators for Triangulated 2-Manifolds , 2002, VisMath.

[8]  William H. Press,et al.  The Art of Scientific Computing Second Edition , 1998 .

[9]  Steven M. Seitz,et al.  Spacetime faces , 2004, ACM Trans. Graph..

[10]  Thomas Vetter,et al.  A morphable model for the synthesis of 3D faces , 1999, SIGGRAPH.

[11]  Kalpathi R. Subramanian,et al.  Interpolating implicit surfaces from scattered surface data using compactly supported radial basis functions , 2001, Proceedings International Conference on Shape Modeling and Applications.

[12]  Shigeru Muraki,et al.  Volumetric shape description of range data using “Blobby Model” , 1991, SIGGRAPH.

[13]  Greg Turk,et al.  Reconstructing Surfaces by Volumetric Regularization Using Radial Basis Functions , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  M. Floater,et al.  Multistep scattered data interpolation using compactly supported radial basis functions , 1996 .

[15]  G. Turk,et al.  Reconstructing Surfaces by Volumetric Regularization , 2000 .

[16]  F. A. Seiler,et al.  Numerical Recipes in C: The Art of Scientific Computing , 1989 .

[17]  Hans-Peter Seidel,et al.  Head shop: generating animated head models with anatomical structure , 2002, SCA '02.

[18]  F. I. Parke June,et al.  Computer Generated Animation of Faces , 1972 .

[19]  Holger Wendland,et al.  Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree , 1995, Adv. Comput. Math..

[20]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[21]  Richard K. Beatson,et al.  Reconstruction and representation of 3D objects with radial basis functions , 2001, SIGGRAPH.