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:
Dec. 02, 2025

Filed:

Nov. 03, 2023
Applicant:

Nant Holdings Ip, Llc, Culver City, CA (US);

Inventors:

Bing Song, La Canada, CA (US);

Liwen Lin, Los Angeles, CA (US);

Assignee:

Nant Holdings IP, LLC, Culver City, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 3/10 (2024.01); G06F 16/583 (2019.01); G06F 18/25 (2023.01); G06T 11/60 (2006.01); G06V 10/46 (2022.01); G06V 10/80 (2022.01);
U.S. Cl.
CPC ...
G06T 3/10 (2024.01); G06F 16/583 (2019.01); G06F 18/253 (2023.01); G06T 11/60 (2013.01); G06V 10/462 (2022.01); G06V 10/806 (2022.01); G06T 2200/28 (2013.01);
Abstract

Methods, systems, and articles of manufacture to improve image recognition searching are disclosed. In some embodiments, a first document image of a known object is used to generate one or more other document images of the same object by applying one or more techniques for synthetically generating images. The synthetically generated images correspond to different variations in conditions under which a potential query image might be captured. Extracted features from an initial image of a known object and features extracted from the one or more synthetically generated images are stored, along with their locations, as part of a common model of the known object. In other embodiments, image recognition search effectiveness is improved by transforming the location of features of multiple images of a same known object into a common coordinate system. This can enhance the accuracy of certain aspects of existing image search/recognition techniques including, for example, geometric verification.


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