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:
Mar. 03, 2026

Filed:

Feb. 08, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Zheng Zhang, San Carlos, CA (US);

Han Hu, Beijing, CN;

Yue Cao, Redmond, WA (US);

Xin Tong, Beijing, CN;

Ze Liu, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06N 3/04 (2023.01); G06T 7/238 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G06T 17/00 (2006.01); G06V 10/44 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06T 7/73 (2017.01); G06T 7/62 (2017.01); G06T 7/90 (2017.01); G06T 17/00 (2013.01); G06V 10/44 (2022.01); G06V 20/64 (2022.01); G06V 2201/07 (2022.01);
Abstract

According to implementations of the subject matter described herein, a solution is proposed for three-dimensional (3D) object detection. In this solution, feature representations of a plurality of points are extracted from point cloud data related to a 3D object. Initial feature representations of a set of candidate 3D objects are determined based on the feature representations of the plurality of points. Based on the feature representations of the plurality of points and the initial feature representations of the set of candidate 3D objects, a detection result for the 3D object is generated by determining self-correlations between the set of candidate 3D objects and cross-correlations between the plurality of points and the set of candidate 3D objects. In this way, without grouping points into candidate 3D objects, the 3D object in a 3D scene can be localized and recognized based on the self-correlations and cross-correlations.


Find Patent Forward Citations

Loading…