The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 25, 2026

Filed:

Jul. 05, 2021
Applicant:

Shanghaitech University, Shanghai, CN;

Inventors:

Siyuan Shen, Shanghai, CN;

Zi Wang, Shanghai, CN;

Shiying Li, Shanghai, CN;

Jingyi Yu, Shanghai, CN;

Assignee:

SHANGHAITECH UNIVERSITY, Shanghai, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/521 (2017.01); G01S 7/4865 (2020.01); G01S 17/42 (2006.01); G01S 17/894 (2020.01); G06T 7/557 (2017.01); G06T 7/77 (2017.01);
U.S. Cl.
CPC ...
G06T 7/521 (2017.01); G01S 7/4866 (2013.01); G01S 17/42 (2013.01); G01S 17/894 (2020.01); G06T 7/557 (2017.01); G06T 7/77 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/10052 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
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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