US 12,456,334 B2
Optical skin detection for face unlock
Peter Schillen, Ludwigshafen am Rhein (DE); Benjamin Guthier, Ludwigshafen am Rhein (DE); Friedrich Schick, Ludwigshafen am Rhein (DE); Manuel Guenther, Zurich (CH); Lars Diesselberg, Karlsruhe (DE); and Christian Lennartz, Ludwigshafen am Rhein (DE)
Assigned to TRINAMIX GMBH, Ludwigshafen am Rhein (DE)
Filed by trinamiX GmbH, Ludwigshafen am Rhein (DE)
Filed on Sep. 15, 2023, as Appl. No. 18/468,352.
Application 18/468,352 is a continuation of application No. 18/264,326, granted, now 12,361,760, previously published as PCT/EP2022/053941, filed on Feb. 17, 2022.
Claims priority of application No. 21157800 (EP), filed on Feb. 18, 2021.
Prior Publication US 2024/0005703 A1, Jan. 4, 2024
Int. Cl. G06V 40/40 (2022.01); G01S 17/894 (2020.01); G06F 21/32 (2013.01); G06T 7/50 (2017.01); G06V 10/141 (2022.01); G06V 10/145 (2022.01); G06V 10/25 (2022.01); G06V 10/54 (2022.01); G06V 10/60 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01)
CPC G06V 40/40 (2022.01) [G01S 17/894 (2020.01); G06F 21/32 (2013.01); G06T 7/50 (2017.01); G06V 10/141 (2022.01); G06V 10/145 (2022.01); G06V 10/25 (2022.01); G06V 10/54 (2022.01); G06V 10/60 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/165 (2022.01); G06V 40/168 (2022.01); G06V 40/172 (2022.01); G06T 2207/30201 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A system, comprising:
a near infrared (NIR) camera configured to capture a scene, the NIR camera comprising an optical sensor, wherein the NIR camera is sensitive to NIR light in a range of 700 nm to 1100 nm in wavelength;
a plurality of light projecting devices at least one of which is configured to project a light pattern on the scene, wherein at least one of the plurality of light projecting devices is a vertical cavity surface emitting laser (VCSEL); and
a processor configured to:
output a first image comprising light reflected from the scene in response to the projection by the light projecting devices and output a second image comprising a reflective light pattern reflected from the scene in response to the projection by the light projecting devices;
detect a face in a region in the first image;
determine a distribution of light intensity of a region in the second image;
compare the determined distribution of light intensity to a distribution of light intensity derived from a reference image;
determine a material classification of the face based on the comparison of the determined distribution of light intensity and the distribution of light intensity derived from the reference image;
determine at least one depth map based on depth differences in the reflective light pattern; and
authenticate the face based on the detection of the face, the classification of the face, and the depth map.