公开(公告)号：US20240202948A1

公开(公告)日：2024-06-20

申请号：US18574049

申请日：2021-07-05

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Siyuan SHEN ,  Zi WANG ,  Shiying LI ,  Jingyi YU

IPC: G06T7/521 ,  G01S7/4865 ,  G01S17/42 ,  G01S17/894 ,  G06T7/557 ,  G06T7/77

CPC classification number: G06T7/521 ,  G01S7/4866 ,  G01S17/42 ,  G01S17/894 ,  G06T7/557 ,  G06T7/77 ,  G06T2207/10028 ,  G06T2207/10052 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A novel neural modeling framework Neural Transient Field (NeTF) is provided for non-line-of-sight (NLOS) imaging. NeTF recovers the 5D transient function in both spatial location and direction, and the training data input is parametrized on the spherical wave-fronts. A Markov chain Monte Carlo (MCMC) algorithm is used to account for sparse and unbalanced sampling in NeTF.