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. 03, 2023

Filed:

May. 28, 2021
Applicant:

Nike, Inc., Beaverton, OR (US);

Inventors:

David Alexander Bleicher, Tel-Aviv, IL;

Dror Ben-Eliezer, Pardes Hanna-Karkur, IL;

Shachar Ilan, Givatayim, IL;

Tamir Lousky, Ramat Gan, IL;

Natanel Davidovits, Tel-Aviv, IL;

Daniel Mashala, Tel-Aviv, IL;

Eli Baram, Hod Hasharon, IL;

Yossi Elkrief, Be'er Sheva, IL;

Ofir Ron, Rishon LeZion, IL;

Assignee:

NIKE, Inc., Beaverton, OR (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/60 (2017.01); G06T 7/194 (2017.01); G06T 7/521 (2017.01); G06T 7/11 (2017.01); G06T 7/73 (2017.01); G06T 7/13 (2017.01); G06N 20/00 (2019.01); G01C 5/00 (2006.01); G01S 17/08 (2006.01); G06N 5/04 (2023.01); G06Q 30/0601 (2023.01); G06T 17/20 (2006.01); H04N 23/60 (2023.01); G06T 7/62 (2017.01); G06T 7/50 (2017.01);
U.S. Cl.
CPC ...
G06T 7/60 (2013.01); G01C 5/00 (2013.01); G01S 17/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0631 (2013.01); G06Q 30/0643 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/194 (2017.01); G06T 7/50 (2017.01); G06T 7/521 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06T 17/20 (2013.01); H04N 23/64 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Systems, methods, and apparatuses described herein may provide image processing, including displaying, by a mobile device, an image of an object located perpendicular to a reference object, calculating, based on at least one depth measurement determined using a depth sensor in the mobile device, the predicted height of the mobile device when the image was captured, calculating scale data for the image based on the predicted height, determining a reference line identifying the location of the object and the reference object in the image, segmenting pixels in the object in the image from pixels in the image outside the object, measuring the object based on the pixels in the object and the scale data, and generating model data comprising the object, the scale data, and the measurements.


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