Adaptive real-time 3D acquisition and contour tracking within a multiple structured light system

Active 3D acquisition setups currently capture 3D data from a single viewpoint. We propose a system that supports the effective use of multiple structured light modules placed around the object of interest. We show how oppositely positioned modules could work together and how we can avoid those parts of the background that unnecessarily take up computation time. Key to the setup is having the structured light patterns masked outside the outlines of the object to be captured. This is done very fast, so that the system can be used for motion capture. Only off-the-shelf hardware is required.

[1]  Szymon Rusinkiewicz,et al.  Stripe boundary codes for real-time structured-light range scanning of moving objects , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[2]  Luc Van Gool,et al.  Active acquisition of 3D shape for moving objects , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[3]  Thomas P. Koninckx,et al.  High-speed active 3D acquisition based on a pattern-specific mesh , 2003, IS&T/SPIE Electronic Imaging.

[4]  Luc Van Gool,et al.  Real-time range scanning of deformable surfaces by adaptively coded structured light , 2003, Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings..

[5]  Dinesh Manocha,et al.  Fast computation of generalized Voronoi diagrams using graphics hardware , 1999, SIGGRAPH.

[6]  P. Strevens Iii , 1985 .

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

[8]  Marc Levoy,et al.  Real-time 3D model acquisition , 2002, ACM Trans. Graph..

[9]  Luc Van Gool,et al.  One-shot active 3D image capture , 1997, Electronic Imaging.