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 12106597 B1

Date of Patent:

Oct. 01, 2024

Filed:

Sep. 19, 2022

Method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real object

Applicant:

Identy Inc., Dover, DE (US);

Inventor:

Jesus Aragon, Dover, DE (US);

Assignee:

Identy Inc., Dover, DE (US);

Attorney:

Lowenstein Sandler LLP

Primary Examiner:

Utpal D Shah

Int. Cl.

CPC ...

G06V 40/13 (2022.01); G06F 18/21 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/10 (2022.01); G06V 10/20 (2022.01); G06V 10/44 (2022.01); G06V 10/75 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 30/142 (2022.01); G06V 40/10 (2022.01); G06V 40/12 (2022.01); G06V 40/40 (2022.01); H04N 23/56 (2023.01);

U.S. Cl.

CPC ...

G06V 40/1312 (2022.01); G06F 18/21 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/17 (2022.01); G06V 10/255 (2022.01); G06V 10/454 (2022.01); G06V 10/751 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 30/142 (2022.01); G06V 40/107 (2022.01); G06V 40/1318 (2022.01); G06V 40/1347 (2022.01); G06V 40/1365 (2022.01); G06V 40/1388 (2022.01); G06V 40/40 (2022.01); H04N 23/56 (2023.01); G06T 2207/20021 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);

Abstract

A method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real three-dimensional object, the method comprising: obtaining, by an optical sensor of a mobile device, an image containing an object that is either the two-dimensional spoof or the real three-dimensional object; providing the image to a neural network; processing the image by the neural network by calculating: 1) a distance map representative of the distance of pixels to the optical sensor, the pixels constituting at least a portion of the object within the image, or 2) a reflection pattern representative of light reflection associated with pixels constituting at least a portion of the object within the image; comparing the distance map or the reflection pattern with a learned distance map or a learned reflection pattern; and obtaining as a final output a determination the image contains either the two-dimensional spoof or the real three-dimensional object.

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