US 12,333,765 B2
Methods and systems for establishing accurate phenotype metrics
Arun Vemury, North Bethesda, MD (US); Yevgeniy Sirotin, Severna Park, MD (US); John Howard, Bethesda, MD (US); and Jerry Tipton, Severn, MD (US)
Assigned to The Government of the United States of America, represented by the Secretary of Homeland Security, Washington, DC (US)
Filed by The Government of the United States of America, as represented by the Secretary of Homeland Security, Washington, DC (US)
Filed on Apr. 18, 2024, as Appl. No. 18/639,514.
Application 18/639,514 is a division of application No. 18/381,840, filed on Oct. 19, 2023, granted, now 12,067,750.
Claims priority of provisional application 63/419,980, filed on Oct. 27, 2022.
Prior Publication US 2024/0265581 A1, Aug. 8, 2024
Int. Cl. G06T 7/90 (2017.01); G06T 7/80 (2017.01)
CPC G06T 7/90 (2017.01) [G06T 7/80 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/30201 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A process flow to create a data driven skin tone target comprising:
generating a face data set comprising a set of images of faces;
providing a camera comprising camera properties associated with capturing an image;
measuring skin tone across the face data set;
expressing skin tone of the images in CIELAB or CIELCH coordinates;
identifying a range of observed lightness, chromaticity, and hue values in the images of faces;
identifying a set of N colors that span the range of observed lightness, chromaticity, and hue values where N is a natural number;
spectrally printing N color patches to create a data-driven skin tone calibration target;
using the data-driven skin tone calibration target to adjust the camera properties to reliably reproduce human skin tones;
defining a range of HCL values;
if the HCL values are inside the range, then setting a color health value of the face equal to 1; else determining a shortest difference in CIELAB space to a boundary of natural color range and setting the color health value of the face proportional to the shortest difference in CIELAB space to the boundary of the natural color range; and
measuring a proportion of faces in the data set that have color health values equal to 1.