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:
May. 05, 2026

Filed:

Nov. 17, 2022
Applicant:

Siemens Aktiengesellschaft, Munich, DE;

Inventors:

Wei Yao, Chaoyang, CN;

Dong Li, Beijing, CN;

Chuan Yu Zhang, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/36 (2006.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06V 10/22 (2022.01); G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 10/44 (2022.01); G06V 10/70 (2022.01); G06V 10/74 (2022.01); G06V 10/75 (2022.01); G06V 10/77 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06T 7/74 (2017.01); G06V 10/22 (2022.01); G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 10/454 (2022.01); G06V 10/70 (2022.01); G06V 10/74 (2022.01); G06V 10/75 (2022.01); G06V 10/751 (2022.01); G06V 10/757 (2022.01); G06V 10/7715 (2022.01); G06V 10/80 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06T 2207/20016 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/07 (2022.01);
Abstract

Embodiments of this application provide a target detection method and apparatus, an electronic device, and a computer storage medium. The method includes: obtaining a target image including a target object; performing instance segmentation on the target image, to obtain a segmentation mask corresponding to the target object; obtaining, based on the segmentation mask, position relationship features between target pixels in a target region in which the target object is located in the target image; obtaining position relationship features between standard pixels in a preset region of interest in a standard image, where the standard image includes a standard object corresponding to the target object; and matching the position relationship features between the target pixels and the position relationship features between the standard pixels, to obtain a correspondence between the target pixels and the standard pixels, and obtaining pose information of the target object based on the correspondence.


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