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:
Sep. 06, 2022

Filed:

Dec. 18, 2020
Applicant:

Huawei Technologies Co., Ltd., Shenzhen, CN;

Inventors:

Wei Jiang, Santa Clara, CA (US);

Wei Wang, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06V 10/22 (2022.01); G06V 10/46 (2022.01); G06V 20/64 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06T 7/11 (2017.01); G06T 19/20 (2011.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06K 9/6232 (2013.01); G06K 9/6265 (2013.01); G06K 9/6292 (2013.01); G06V 10/22 (2022.01); G06V 10/464 (2022.01); G06V 20/647 (2022.01);
Abstract

The disclosure relates to technology for object detection in which a vision system receives training datasets including a set of two-dimensional (2D) images of the object from multiple views. A set of 3D models is reconstructed from the set of 2D images based on salient points of the object selected during reconstruction to generate one or more salient 3D models of the object that is an aggregation of the salient points of the object in the set of 3D models. A set of training 2D-3D correspondence data are generated between the set of 2D images in a first training dataset of the training datasets and the salient 3D model of the object generated using the first training dataset. A deep neural network is trained using the set of training 2D-3D correspondence data generated using the first training dataset for object detection and segmentation.


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