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:
Nov. 04, 2025

Filed:

Aug. 24, 2023
Applicant:

Magic Leap, Inc., Plantation, FL (US);

Inventors:

Alexey Spizhevoy, Novgorod, RU;

Adrian Kaehler, Los Angeles, CA (US);

Vijay Badrinarayanan, Los Altos, CA (US);

Assignee:

Magic Leap, Inc., Plantation, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06F 18/2413 (2023.01); G06T 7/10 (2017.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/194 (2017.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); G06V 40/18 (2022.01);
U.S. Cl.
CPC ...
G06T 7/12 (2017.01); G06F 18/2413 (2023.01); G06T 7/0002 (2013.01); G06T 7/10 (2017.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06V 10/454 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/993 (2022.01); G06V 40/193 (2022.01); G06V 40/197 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Systems and methods for eye image segmentation and image quality estimation are disclosed. In one aspect, after receiving an eye image, a device such as an augmented reality device can process the eye image using a convolutional neural network with a merged architecture to generate both a segmented eye image and a quality estimation of the eye image. The segmented eye image can include a background region, a sclera region, an iris region, or a pupil region. In another aspect, a convolutional neural network with a merged architecture can be trained for eye image segmentation and image quality estimation. In yet another aspect, the device can use the segmented eye image to determine eye contours such as a pupil contour and an iris contour. The device can use the eye contours to create a polar image of the iris region for computing an iris code or biometric authentication.


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