Compressive Structured Light for Recovering Inhomogeneous Participating Media

In this project, we propose a new method named compressive structured light for recovering inhomogeneous participating media. Whereas conventional structured light methods emit coded light patterns onto the surface of an opaque object to establish correspondence, compressive structured light projects patterns into a volume of participating medium to produce images which are integral measurements of the volume density along the line of sight. For a typical participating medium encountered in the real world, the integral nature of the acquired images enables the use of compressive sensing techniques that can recover the entire volume density from only a few measurements. This makes the acquisition process more efficient and enables reconstruction of dynamic volumetric phenomena. We show the effectiveness of our method with simulations as well as experiments on the volumetric recovery of multiple translucent layers, 3D point clouds etched in glass, and the dynamic process of milk drops dissolving in water.

Project Page: http://www1.cs.columbia.edu/CAVE/projects/csl/

Category:

Science & Technology

Tags:

• compressive
• structured
• light
• inhomogeneous
• participating
• media
• computer
• vision
• graphics
• density
• measurement
• volumetric
• dynamic
• coding
• sparsity
• eccv