On recovering detailed face deformation under general lighting using height from shading

Face tracking and animation are important components for many human computer interface applications. Facial motion produces transient features such as wrinkles and shading changes, which are important yet difficult issues for both analysis (tracking) and synthesis (animation). Previous approaches were mostly based on extensive training appearance examples. However it is difficult for collect samples to cover all possible lighting conditions and head poses. In this paper, we attempt to recover detailed facial geometrical changes due to facial motion under general lighting. The recovered geometry can then be used for the analysis and synthesis of the transient features and shading changes under new lighting conditions. The method is based on shading information and thus suitable for facial areas without permanent features.

[1]  Demetri Terzopoulos,et al.  Physically-based facial modelling, analysis, and animation , 1990, Comput. Animat. Virtual Worlds.

[2]  Timothy F. Cootes,et al.  Face recognition using the active appearance model. , 1998, European Conference on Computer Vision.

[3]  Harry Shum,et al.  Synthesizing bidirectional texture functions for real-world surfaces , 2001, SIGGRAPH.

[4]  Ronen Basri,et al.  Photometric stereo with general, unknown lighting , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[5]  Zicheng Liu,et al.  Expressive expression mapping with ratio images , 2001, SIGGRAPH.

[6]  Berthold K. P. Horn Robot vision , 1986, MIT electrical engineering and computer science series.

[7]  Tosiyasu L. Kunii,et al.  Shape Modeling and Shape Analysis Based on Singularities , 1996, Int. J. Shape Model..

[8]  Ronen Basri,et al.  Lambertian Reflectance and Linear Subspaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Aaron F. Bobick,et al.  The direct computation of height from shading , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[10]  Pat Hanrahan,et al.  An efficient representation for irradiance environment maps , 2001, SIGGRAPH.

[11]  Alex Pentland,et al.  Coding, Analysis, Interpretation, and Recognition of Facial Expressions , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Timothy F. Cootes,et al.  Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..