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Proceedings Paper

Spatio-temporal regularization for range imaging with high photon efficiency
Author(s): Ahmed Kirmani; Andrea Colaço; Dongeek Shin; Vivek K. Goyal
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Paper Abstract

Conventional depth imagers using time-of-flight methods collect hundreds to thousands of detected photons per pixel to form high-quality depth images of a scene. Through spatio-temporal regularization achieved with maximum a posteriori probability estimation under a scene prior and an inhomogeneous Poisson process likelihood function, we form depth images with dramatically higher photon efficiency even as low as one detected photon per pixel. Simulations demonstrate the combination of high accuracy and high photon efficiency of our method, compared to the traditional maximum likelihood estimate of the depth image and other popular denoising algorithms.

Paper Details

Date Published: 26 September 2013
PDF: 7 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 88581F (26 September 2013); doi: 10.1117/12.2024639
Show Author Affiliations
Ahmed Kirmani, Massachusetts Institute of Technology (United States)
Andrea Colaço, Massachusetts Institute of Technology (United States)
Dongeek Shin, Massachusetts Institute of Technology (United States)
Vivek K. Goyal, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

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