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:
Jan. 09, 2024

Filed:

Mar. 19, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Guoqiang Hu, Shanghai, CN;

Sheng Nan Zhu, Shanghai, CN;

Yuan Yuan Ding, Shanghai, CN;

Hong Bing Zhang, Beijing, CN;

Dan Zhang, Beijing, CN;

Tian Tian Chai, Beijing, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/44 (2022.01); G06V 20/80 (2022.01); G06T 7/12 (2017.01); G06V 20/56 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 20/80 (2022.01); G06T 7/12 (2017.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method for detecting and labeling a target object in a 2D image includes receiving a plurality of 2D images from a visual sensor, manually marking points of the target object on each of the 2D images, generating from the 2D images a 3D world coordinate system of the environment surrounding the target object, mapping each of the marked points on the 2D images to the 3D world coordinate system using a simultaneous localization and mapping (SLAM) engine, automatically generating a 3D bounding box covering all the marked points mapped to the 3D world coordinate system, mapping the 3D bounding box to each of the 2D images, generating a label for the target object on each of the 2D images using a machine learning object detection model, and training the machine learning object detection model based on the generated label for the target object.


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