Spatio-temporal regularization for range imaging with high photon efficiency

Ahmed Kirmani; Andrea Colaço; Dongeek Shin; Vivek K. Goyal

doi:10.1117/12.2024639

26 September 2013 Spatio-temporal regularization for range imaging with high photon efficiency

Ahmed Kirmani, Andrea Colaço, Dongeek Shin, Vivek K. Goyal

Proceedings Volume 8858, Wavelets and Sparsity XV; 88581F (2013) https://doi.org/10.1117/12.2024639
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

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.

Citation Download Citation

Ahmed Kirmani, Andrea Colaço, Dongeek Shin, and Vivek K. Goyal "Spatio-temporal regularization for range imaging with high photon efficiency", Proc. SPIE 8858, Wavelets and Sparsity XV, 88581F (26 September 2013); https://doi.org/10.1117/12.2024639

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