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:
Jul. 05, 2022

Filed:

Sep. 30, 2020
Applicant:

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

Inventors:

Kamil Wnuk, Playa del Rey, CA (US);

David McKinnon, San Francisco, CA (US);

Jeremi Sudol, New York, NY (US);

Bing Song, La Canada, CA (US);

Matheen Siddiqui, Culver City, CA (US);

Assignee:

NANT HOLDINGS IP, LLC, Culver City, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/20 (2022.01); G06F 16/532 (2019.01); G06F 16/583 (2019.01); G06T 7/13 (2017.01); G06V 10/44 (2022.01); G06V 20/40 (2022.01); G06F 16/58 (2019.01); G06V 20/64 (2022.01); G06T 7/60 (2017.01);
U.S. Cl.
CPC ...
G06V 10/255 (2022.01); G06F 16/532 (2019.01); G06F 16/5838 (2019.01); G06F 16/5854 (2019.01); G06F 16/5866 (2019.01); G06T 7/13 (2017.01); G06T 7/60 (2013.01); G06V 10/443 (2022.01); G06V 20/46 (2022.01); G06V 20/64 (2022.01); G06T 2207/20061 (2013.01); G06T 2207/20116 (2013.01);
Abstract

An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.


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