Getting facial features and gestures in 3D

In the study of face perception and face animation, there is a growing interest in using 3-D data. The advent of dedicated laser scanners has proved instrumental in this regard. The availability of 3D face models makes it easier to change viewpoints and illumination conditions in perception experiments or to build animated likenesses in graphics. Here we propose to go one step further and also capture face dynamics (visemes, epressions) in 3-D. To that end, an active 3-D acquisition system is proposed, that yields 3-D, textured snapshots from a single image. By the fact that data are captured from a single shot, the face may move during the operation. Alternatively, images can be taken at video rate and for each frame a 3-D reconstruction (still textured if required) can be made. Such 3-D movies can then be used to analyse facial expressions in 3-D, through the tracking of points or features on the face. Preliminary experiments in that direction are presented. The reported work is part of an effort to model facial expressions without taking recourse to the modeling of the underlying physiology.

[1]  Demetri Terzopoulos,et al.  Realistic modeling for facial animation , 1995, SIGGRAPH.

[2]  Zen Chen,et al.  Curved surface reconstruction using a simple structured light method , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[3]  Shree K. Nayar,et al.  Telecentric Optics for Computational Vision , 1996, ECCV.

[4]  Ernest L. Hall,et al.  Measuring Curved Surfaces for Robot Vision , 1982, Computer.

[5]  Shree K. Nayar,et al.  Real-Time Focus Range Sensor , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Lawrence B. Wolff,et al.  Generalizing Lambert's Law for Smooth Surfaces , 1996, ECCV.

[7]  Minoru Maruyama,et al.  Range Sensing by Projecting Multiple Slits with Random Cuts , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Gongzhu Hu,et al.  3-D Surface Solution Using Structured Light and Constraint Propagation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Clifton Smith,et al.  Three-dimensional imaging system with structured lighting and practical constraints , 1997, J. Electronic Imaging.

[10]  Andrew Blake,et al.  Real-Time Lip Tracking for Audio-Visual Speech Recognition Applications , 1996, ECCV.

[11]  André Oosterlinck,et al.  Range Image Acquisition with a Single Binary-Encoded Light Pattern , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Ray A. Jarvis,et al.  A Perspective on Range Finding Techniques for Computer Vision , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  P. M. Will,et al.  Grid coding: A novel technique for image processing , 1972 .

[14]  Gérard G. Medioni,et al.  Object modelling by registration of multiple range images , 1992, Image Vis. Comput..

[15]  Alex Pentland,et al.  Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[16]  Gérard G. Medioni,et al.  Object modeling by registration of multiple range images , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[17]  Luc Van Gool,et al.  One-shot active 3D shape acquisition , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[18]  M Rioux,et al.  Laser range finder based on synchronized scanners. , 1984, Applied optics.

[19]  Lawrence B. Wolff,et al.  On the relative brightness of specular and diffuse reflection , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[20]  Takeo Kanade,et al.  Recovery of dynamic scene structure from multiple image sequences , 1996, 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242).

[21]  Luc Van Gool,et al.  Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion , 1994, ECCV.

[22]  Andrew Blake,et al.  Trinocular Active Range-Sensing , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Timothy F. Cootes,et al.  A unified approach to coding and interpreting face images , 1995, Proceedings of IEEE International Conference on Computer Vision.

[24]  Kim L. Boyer,et al.  Color-Encoded Structured Light for Rapid Active Ranging , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.