US 12,462,394 B2
Neural network for eye image segmentation and image quality estimation
Alexey Spizhevoy, Novgorod (RU); Adrian Kaehler, Los Angeles, CA (US); and Vijay Badrinarayanan, Los Altos, CA (US)
Assigned to Magic Leap, Inc., Plantation, FL (US)
Filed by Magic Leap, Inc., Plantation, FL (US)
Filed on Aug. 24, 2023, as Appl. No. 18/455,093.
Application 18/455,093 is a continuation of application No. 17/407,763, filed on Aug. 20, 2021, granted, now 11,776,131.
Application 17/407,763 is a continuation of application No. 16/570,418, filed on Sep. 13, 2019, granted, now 11,100,644, issued on Aug. 24, 2021.
Application 16/570,418 is a continuation of application No. 15/605,567, filed on May 25, 2017, granted, now 10,445,881, issued on Oct. 15, 2019.
Claims priority of application No. RU2016138608 (RU), filed on Sep. 29, 2016.
Prior Publication US 2024/0029269 A1, Jan. 25, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. 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)
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)] 26 Claims
OG exemplary drawing
 
1. A computer-implemented method for determining eye contours in a semantically segmented eye image, comprising:
receiving a semantically segmented eye image of an eye image comprising a plurality of pixels;
determining a pupil contour using the semantically segmented eye image;
determining an iris contour using the semantically segmented eye image,
wherein,
the pupil contour is determined using a first binary image created based on the semantically segmented eye image, wherein a color value of a first binary image pixel of the first binary image is a fourth color value or a third color value, and/or
the iris contour is determined using a second binary image created based on the semantically segmented eye image, wherein a color value of a second binary image pixel of the second binary image is the third color value or a second color value; and
performing personal biometric identification based the pupil contour and the iris contour.