Invention Publication
- Patent Title: NON-LINE-OF-SIGHT IMAGING VIA NEURAL TRANSIENT FIELD
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Application No.: US18574049Application Date: 2021-07-05
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Publication No.: US20240202948A1Publication Date: 2024-06-20
- Inventor: Siyuan SHEN , Zi WANG , Shiying LI , Jingyi YU
- Applicant: SHANGHAITECH UNIVERSITY
- Applicant Address: CN Shanghai
- Assignee: SHANGHAITECH UNIVERSITY
- Current Assignee: SHANGHAITECH UNIVERSITY
- Current Assignee Address: CN Shanghai
- International Application: PCT/CN2021/104609 2021.07.05
- Date entered country: 2023-12-25
- Main IPC: G06T7/521
- IPC: G06T7/521 ; G01S7/4865 ; G01S17/42 ; G01S17/894 ; G06T7/557 ; G06T7/77
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.
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