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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 11961609 B1

PDFFull Text
Date of Patent:
Apr. 16, 2024

Filed:

Jul. 23, 2021

3d image classification method and apparatus, device, and storage medium

Applicant:

Tencent Technology (Shenzhen) Company Limited, Guangdong, CN;

Inventors:

Yi Fan Hu, Shenzhen, CN;

Ye Feng Zheng, Shenzhen, CN;

Assignee:

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen, CN;

Attorney:

Sughrue Mion, PLLC

Primary Examiner:

Ming Y Hon

Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06F 18/25 (2023.01); G06N 3/08 (2023.01); G06V 10/44 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/24 (2023.01); G06F 18/253 (2023.01); G06N 3/08 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G16H 30/20 (2018.01); G06V 2201/03 (2022.01);
Abstract

The disclosure provides a three-dimensional (3D) image classification method and apparatus, a device, and a storage medium. The method includes: obtaining a 3D image, the 3D image including first-dimensional image information, second-dimensional image information, and third-dimensional image information; extracting a first image feature corresponding to planar image information from the 3D image; extracting a second image feature corresponding to the third-dimensional image information from the 3D image; fusing the first image feature and the second image feature, to obtain a fused image feature corresponding to the 3D image; and determining a classification result corresponding to the 3D image according to the fused image feature corresponding to the 3D image.

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