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. 08, 2023

Filed:

Dec. 28, 2020
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Chenchi Luo, Plano, TX (US);

Gyeongmin Choe, Plano, TX (US);

Yingmao Li, Allen, TX (US);

Zeeshan Nadir, Richardson, TX (US);

Hamid R. Sheikh, Allen, TX (US);

John Seokjun Lee, Allen, TX (US);

Youngjun Yoo, Plano, TX (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/00 (2023.01); G06N 3/045 (2023.01); G06T 7/60 (2017.01); G06T 7/44 (2017.01); G06N 3/08 (2023.01); G06N 3/042 (2023.01);
U.S. Cl.
CPC ...
G06N 3/045 (2023.01); G06N 3/042 (2023.01); G06N 3/08 (2013.01); G06T 7/44 (2017.01); G06T 7/60 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A method includes obtaining, using at least one processor of an electronic device, multiple calibration parameters associated with multiple sensors of a selected mobile device. The method also includes obtaining, using the at least one processor, an identification of multiple imaging tasks. The method further includes obtaining, using the at least one processor, multiple synthetically-generated scene images. In addition, the method includes generating, using the at least one processor, multiple training images and corresponding meta information based on the calibration parameters, the identification of the imaging tasks, and the scene images. The training images and corresponding meta information are generated concurrently, different ones of the training images correspond to different ones of the sensors, and different pieces of the meta information correspond to different ones of the imaging tasks.


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