TY - GEN
T1 - SNLOS
T2 - 2019 IEEE International Conference on Computational Photography, ICCP 2019
AU - Pediredla, Adithya
AU - Dave, Akshat
AU - Veeraraghavan, Ashok
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Over the last decade, several techniques have been developed for looking around the corner by exploiting the round-trip travel time of photons. Typically, these techniques necessitate the collection of a large number of measurements with varying virtual source and virtual detector locations. This data is then processed by a reconstruction algorithm to estimate the hidden scene. As a consequence, even when the region of interest in the hidden volume is small and limited, the acquisition time needed is large as the entire dataset has to be acquired and then processed.In this paper, we present the first example of scanning based non-line-of-sight imaging technique. The key idea is that if the virtual sources (pulsed sources) on the wall are delayed using a quadratic delay profile (much like the quadratic phase of a focusing lens), then these pulses arrive at the same instant at a single point in the hidden volume - the point being scanned. On the imaging side, applying quadratic delays to the virtual detectors before integration on a single gated detector allows us to 'focus' and scan each point in the hidden volume. By changing the quadratic delay profiles, we can focus light at different points in the hidden volume. This provides the first example of scanning based non-line-of-sight imaging, allowing us to focus our measurements only in the region of interest. We derive the theoretical underpinnings of 'temporal focusing', show compelling simulations of performance analysis, build a hardware prototype system and demonstrate real results.
AB - Over the last decade, several techniques have been developed for looking around the corner by exploiting the round-trip travel time of photons. Typically, these techniques necessitate the collection of a large number of measurements with varying virtual source and virtual detector locations. This data is then processed by a reconstruction algorithm to estimate the hidden scene. As a consequence, even when the region of interest in the hidden volume is small and limited, the acquisition time needed is large as the entire dataset has to be acquired and then processed.In this paper, we present the first example of scanning based non-line-of-sight imaging technique. The key idea is that if the virtual sources (pulsed sources) on the wall are delayed using a quadratic delay profile (much like the quadratic phase of a focusing lens), then these pulses arrive at the same instant at a single point in the hidden volume - the point being scanned. On the imaging side, applying quadratic delays to the virtual detectors before integration on a single gated detector allows us to 'focus' and scan each point in the hidden volume. By changing the quadratic delay profiles, we can focus light at different points in the hidden volume. This provides the first example of scanning based non-line-of-sight imaging, allowing us to focus our measurements only in the region of interest. We derive the theoretical underpinnings of 'temporal focusing', show compelling simulations of performance analysis, build a hardware prototype system and demonstrate real results.
KW - computational photography
KW - imaging around the corners
KW - temporal focusing
KW - time-of-flight cameras
UR - https://www.scopus.com/pages/publications/85070397005
U2 - 10.1109/ICCPHOT.2019.8747336
DO - 10.1109/ICCPHOT.2019.8747336
M3 - Conference contribution
AN - SCOPUS:85070397005
T3 - 2019 IEEE International Conference on Computational Photography, ICCP 2019
BT - 2019 IEEE International Conference on Computational Photography, ICCP 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 May 2019 through 17 May 2019
ER -