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:
Oct. 06, 2026

Filed:

Sep. 24, 2022
Applicant:

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

Inventors:

Kun Yan Yin, Ningbo, CN;

Xue Ping Liu, Beijing, CN;

Yun Jing Zhao, Beijing, CN;

Fei Wang, Dalian, CN;

Yu Tao Wu, Changshu, CN;

Yue Liu, Ningbo, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/20 (2011.01); G06T 15/04 (2011.01); G06T 17/20 (2006.01); G06V 10/46 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/64 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06T 15/205 (2013.01); G06T 15/04 (2013.01); G06T 17/20 (2013.01); G06V 10/462 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/647 (2022.01); G06V 20/70 (2022.01); G06T 2200/08 (2013.01); G06T 2210/12 (2013.01); G06T 2210/56 (2013.01);
Abstract

A computer-implemented method, system and computer program product for improving accuracy of a vision model. Images of an object with a first set of perspectives are received from a dataset used to train the vision model. A three-dimensional model of the object is then generated using the images of the object from the dataset. Using the three-dimensional model of the object, images of the object with a second set of perspectives are obtained. For example, the second set of perspectives may include different perspectives than the perspectives of the object from the images contained in the dataset. The dataset used to train the vision model may then be augmented with such images of the object with a second set of perspectives. In this manner, the dataset used to train the vision model includes a greater number of perspectives of the object thereby improving the accuracy of the vision model.


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