Compressive Structured Light for Recovering Inhomogeneous Participating Media

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 for triangulation, 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. Moreover, our method requires the projection of multiplexed coded illumination, which has the added advantage of increasing the signal-to-noise ratio of the acquisition. Finally, we propose an iterative algorith...

• Type: Conference
• Year: 2008
• Where: ECCV
• Authors: Jinwei Gu, Shree K. Nayar, Eitan Grinspun, Peter N. Belhumeur, Ravi Ramamoorthi
• Keywords: Compressive Structured Light, Computer Vision, Conventional Structured Light, ECCV 2008, Inhomogeneous Participating Media, Structured Light Projects, Typical Participating Medium