Title
Compressive Structured Light for Recovering Inhomogeneous Participating Media.
Abstract
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 algorithm to correct for the attenuation of the participating medium during the reconstruction process. 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.
Year
DOI
Venue
2013
10.1109/TPAMI.2012.130
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
DocType
Volume
light projects pattern,conventional structured light method,volume density,entire volume density,reconstruction process,dynamic process,compressive structured light,acquisition process,light pattern,new method,compressed sensing,structured light,signal to noise ratio,iterative algorithm
Journal
35
Issue
ISSN
Citations 
3
1939-3539
29
PageRank 
References 
Authors
1.47
20
6
Name
Order
Citations
PageRank
Jinwei Gu168739.49
Shree K. Nayar2123941538.46
Eitan Grinspun31647110.92
Peter N. Belhumeur4122421001.27
Ravi Ramamoorthi54481237.21
Ramamoorthi Ravi6291.47