US 12,450,942 B2
System and method for performing face recognition
Eliran Kuta, Tel Aviv (IL); Sella Blondheim, Tel Aviv (IL); Gil Perry, Tel Aviv (IL); Yoav Hacohen, Jerusalem (IL); Matan Ben Yosef, Korazim (IL); and Or Gorodissky, Tel Aviv (IL)
Assigned to DE-IDENTIFICATION LTD., Tel Aviv (IL)
Appl. No. 17/785,445
Filed by DE-IDENTIFICATION LTD., Tel Aviv (IL)
PCT Filed Dec. 14, 2020, PCT No. PCT/IL2020/051286
§ 371(c)(1), (2) Date Jun. 15, 2022,
PCT Pub. No. WO2021/124320, PCT Pub. Date Jun. 24, 2021.
Claims priority of provisional application 62/948,386, filed on Dec. 16, 2019.
Prior Publication US 2023/0023148 A1, Jan. 26, 2023
Int. Cl. G06V 40/16 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01)
CPC G06V 40/172 (2022.01) [G06V 10/7715 (2022.01); G06V 10/7747 (2022.01); G06V 10/776 (2022.01); G06V 40/171 (2022.01)] 17 Claims
OG exemplary drawing
 
1. A system for performing face recognition, the system comprising: a non-transitory memory device storing instruction code; and a processor associated with the memory device, and configured to execute the instruction code, whereupon execution of modules of said instruction code, the processor is configured to:
receive a distinctiveness map, associating a distinctiveness score to one or more regions in an image depicting a first face, the distinctiveness map including a lowest distinctiveness score and one or more higher distinctiveness scores;
select one or more regions of the first face, that are associated with a distinctiveness score higher than the lowest distinctiveness score, based on the distinctiveness map;
modify the image at the one or more selected regions, to produce one or more modified facial images; and
utilize a machine learning (ML) model to recognize a second face, wherein the ML model is trained to recognize the second face based on the one or more modified facial images.