TY - GEN
T1 - Linear systems approach to identifying performance bounds in indirect imaging
AU - Pediredla, Adithya Kumar
AU - Matsuda, Nathan
AU - Cossairt, Oliver Strides
AU - Veeraraghavan, Ashok
N1 - Funding Information:
This work was supported in part by NSF CAREER Grant IIS-1453192, DARPA REVEAL grant HR0011-16-C-0028, ONR grant N00014-15-1-2735, and the Big-Data Private- Cloud Research Cyberinfrastructure MRI-award funded by NSF under grant CNS-1338099 and by Rice University.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - Light scattering on diffuse rough surfaces was long assumed to destroy geometry and photometry information about hidden (non line of sight) objects making 'looking around the corner' (LATC) and 'non line of sight' (NLOS) imaging impractical. Recent work pioneered by Kirmani et al. [1], Velten et al. [2] demonstrated that transient information (time of flight information) from these scattered third bounce photons can be exploited to solve LATC and NLOS imaging. In this paper, we quantify the geometric and photometric reconstruction limits of LATC and NLOS imaging for the first time using a classical linear systems approach. The relationship between the albedo of the voxels in a hidden volume to the third bounce measurements at the sensor is a linear system that is determined by the geometry and the illumination source. We study this linear system and employ empirical techniques to find the limits of the information contained in the third bounce photons as a function of various system parameters.
AB - Light scattering on diffuse rough surfaces was long assumed to destroy geometry and photometry information about hidden (non line of sight) objects making 'looking around the corner' (LATC) and 'non line of sight' (NLOS) imaging impractical. Recent work pioneered by Kirmani et al. [1], Velten et al. [2] demonstrated that transient information (time of flight information) from these scattered third bounce photons can be exploited to solve LATC and NLOS imaging. In this paper, we quantify the geometric and photometric reconstruction limits of LATC and NLOS imaging for the first time using a classical linear systems approach. The relationship between the albedo of the voxels in a hidden volume to the third bounce measurements at the sensor is a linear system that is determined by the geometry and the illumination source. We study this linear system and employ empirical techniques to find the limits of the information contained in the third bounce photons as a function of various system parameters.
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U2 - 10.1109/ICASSP.2017.7953355
DO - 10.1109/ICASSP.2017.7953355
M3 - Conference contribution
AN - SCOPUS:85023746054
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 6235
EP - 6239
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Y2 - 5 March 2017 through 9 March 2017
ER -