Edge-resolved transient imaging: performance analyses, optimizations, and simulations
Files
Accepted manuscript
Date
2021-09-19
Authors
Saunders, Charles
Krska, William
Tachella, Julian
Seidel, Sheila W.
Rapp, Joshua
Murray-Bruce, John
Altmann, Yoann
McLaughlin, Stephen
Goyal, Vivek K.
Version
Accepted manuscript
OA Version
Citation
C. Saunders, W. Krska, J. Tachella, S.W. Seidel, J. Rapp, J. Murray-Bruce, Y. Altmann, S. McLaughlin, V.K. Goyal. 2021. "Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations." 2021 IEEE International Conference on Image Processing (ICIP). 2021 IEEE International Conference on Image Processing (ICIP). 2021-09-19 - 2021-09-22. https://doi.org/10.1109/icip42928.2021.9506590
Abstract
Edge-resolved transient imaging (ERTI) is a method for non-line-of-sight imaging that combines the use of direct time of flight for measuring distances with the azimuthal angular resolution afforded by a vertical edge occluder. Recently conceived and demonstrated for the first time, no performance analyses or optimizations of ERTI have appeared in published papers. This paper explains how the difficulty of detection of hidden scene objects with ERTI depends on a variety of parameters, including illumination power, acquisition time, ambient light, visible-side reflectivity, hidden-side reflectivity, target range, and target azimuthal angular position. Based on this analysis, optimization of the acquisition process is introduced whereby the illumination dwell times are varied to counteract decreasing signal-to-noise ratio at deeper angles into the hidden volume. Inaccuracy caused by a coaxial approximation is also analyzed and simulated.