IEEE Trans Pattern Anal Mach Intell - Compressive Structured Light for Recovering Inhomogeneous Participating Media.

Tópicos

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Resumo

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.

Resumo Limpo

propos new method name compress structur light recov inhomogen particip media wherea convent structur light method emit code light pattern onto surfac opaqu object establish correspond triangul compress structur light project pattern volum particip medium produc imag integr measur volum densiti along line sight typic particip medium encount real world integr natur acquir imag enabl use compress sens techniqu can recov entir volum densiti measur make acquisit process effici enabl reconstruct dynam volumetr phenomena moreov method requir project multiplex code illumin ad advantag increas signaltonois ratio acquisit final propos iter algorithm correct attenu particip medium reconstruct process show effect method simul well experi volumetr recoveri multipl transluc layer d point cloud etch glass dynam process milk drop dissolv water

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