TY - JOUR
T1 - Compressive Non-line-of-sight Imaging using a Convolutional Neural Network
AU - Zhu, Shenyu
AU - Sua, Yong Meng
AU - Bu, Ting
AU - Huang, Yu Ping
N1 - Publisher Copyright:
© 2022 The Author(s)
PY - 2022
Y1 - 2022
N2 - We demonstrate compressive non-line-of-sight imaging with downsampling ratio of 6.25% by using a convolutional neural network (CNN). Photon arrival-time histogram with 10 picosecond resolution enables high-quality image reconstruction with CNN trained purely by using simulated dataset.
AB - We demonstrate compressive non-line-of-sight imaging with downsampling ratio of 6.25% by using a convolutional neural network (CNN). Photon arrival-time histogram with 10 picosecond resolution enables high-quality image reconstruction with CNN trained purely by using simulated dataset.
UR - http://www.scopus.com/inward/record.url?scp=85146800764&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146800764&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85146800764
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
M1 - JW4A.69
T2 - Frontiers in Optics, FiO 2022
Y2 - 17 October 2022 through 20 October 2022
ER -