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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.

Patent No.:

US 12651358 B1

PDFFull Text
Date of Patent:
Jun. 09, 2026

Filed:

May. 24, 2021

Camera motion information based three-dimensional (3d) reconstruction

Applicant:

Sony Group Corporation, Tokyo, JP;

Inventors:

Hideyuki Shimizu, Tokyo, JP;

James Kuch, Wheaton, IL (US);

Nikolaos Georgis, San Diego, CA (US);

Assignee:

SONY GROUP CORPORATION, Tokyo, JP;

Attorney:

CHIP LAW GROUP

Primary Examiner:

Vincent Rudolph

Assistant Examiner:

Timothy undefined Choi

Int. Cl.
CPC ...
G06T 7/292 (2017.01); G06F 18/24 (2023.01); G06N 3/0464 (2023.01); G06N 3/08 (2023.01); G06T 7/33 (2017.01); G06T 7/579 (2017.01); G06T 15/08 (2011.01); G06T 15/20 (2011.01); G06T 17/00 (2006.01); G06T 17/10 (2006.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); H04N 23/73 (2023.01);
U.S. Cl.
CPC ...
G06T 7/292 (2017.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01); G06T 7/344 (2017.01); G06T 7/579 (2017.01); G06T 15/08 (2013.01); G06T 15/205 (2013.01); G06T 17/10 (2013.01); H04N 23/73 (2023.01); G06N 3/0464 (2023.01); G06T 17/00 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01);
Abstract

An electronic device and method for three-dimensional (3D) reconstruction based on camera motion information is provided. The electronic device receives a set of images of a three-dimensional (3D) physical space captured by one or more image sensors. The electronic device further receives metadata associated with each of the set of images. The metadata may include at least motion information associated with the one or more image sensors that captured the set of images. The electronic device applies a neural network model on the received metadata. The electronic device determines a first set of images from the received set of images based on the application of the neural network model on the received metadata. The electronic device constructs a 3D model of a subject associated with the 3D physical space based on the determined first set of images.

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