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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.

Patent No.:

US 12211299 B1

PDFFull Text
Date of Patent:
Jan. 28, 2025

Filed:

May. 10, 2022

Methods and systems of utilizing image processing systems to measure objects

Applicant:

Ccc Intelligent Solutions Inc., Chicago, IL (US);

Inventors:

Steven Penny, Chicago, IL (US);

Daniel Helguera, Chicago, IL (US);

Assignee:

CCC INTELLIGENT SOLUTIONS INC., Chicago, IL (US);

Attorney:

MARSHALL, GERSTEIN & BORUN LLP

Primary Examiner:

Li Liu

Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 3/18 (2024.01); G06T 7/10 (2017.01); G06T 7/11 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/766 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 20/70 (2022.01); G06F 3/0482 (2013.01); G06Q 10/20 (2023.01); G06Q 30/0283 (2023.01);
U.S. Cl.
CPC ...
G06V 20/70 (2022.01); G06T 3/18 (2024.01); G06T 7/0002 (2013.01); G06T 7/0004 (2013.01); G06T 7/10 (2017.01); G06T 7/11 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/766 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/945 (2022.01); G06F 3/0482 (2013.01); G06Q 10/20 (2013.01); G06Q 30/0283 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01); G06V 2201/08 (2022.01);
Abstract

Methods, systems, and techniques for utilizing image processing systems to measure objects, such as vehicles and damage to vehicles, include determining locations of waypoints within a source image of the object, reshaping a minimum area polygon that is defined by the waypoint locations to cover at least a portion of the depicted object within the image so that the reshaped at least a portion has an essentially uniform depth of field, and determining a warping transformation based on the reshaping. The methods, systems, and techniques further include applying the warping transformation to at least a portion of the source image to generate a warped image, and utilizing the warped image to measure areas of damage on the depicted object and the respective locations of the damaged areas, e.g., in conjunction with heat map and/or segmentation map of the source image, which may have been warped using the transformation.

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