US 11,941,913 B2
High resolution face matching
Ran Vardimon, Tel Aviv (IL); Yarden Yaniv, Tel Aviv (IL); Matan Noga, Tel Aviv (IL); and Gadi Piran, Upper Saddle River, NJ (US)
Assigned to CORSIGHT.AI. LTD., Tel Aviv (IL)
Filed by CORSIGHT.AI, Tel Aviv (IL)
Filed on Jul. 14, 2021, as Appl. No. 17/305,814.
Claims priority of provisional application 62/705,763, filed on Jul. 14, 2020.
Prior Publication US 2022/0019774 A1, Jan. 20, 2022
Int. Cl. G06V 40/16 (2022.01); G06N 3/08 (2023.01); G06T 19/00 (2011.01)
CPC G06V 40/173 (2022.01) [G06N 3/08 (2013.01); G06T 19/00 (2013.01); G06V 40/165 (2022.01)] 21 Claims
OG exemplary drawing
 
1. A method for high resolution face matching, the method comprises:
obtaining a visual representation of a first face and a visual representation of a second face; wherein the visual representations of the first and second faces are substantially aligned and are substantially of a same size;
processing the visual representation of the first face by first part of a convolutional neural network (CNN) to provide a first three-dimensional (3D) output; wherein the first 3D output comprises multiple first feature vectors, wherein different first feature vectors are associated with different areas of the visual representation of the first face;
processing the visual representation of the second face by the first part of the CNN to provide a second 3D output; wherein the second 3D output comprises multiple second feature vectors, wherein different second feature vectors are associated with different areas of the visual representation of the second face;
determining similarities between the different areas of the visual representation of the first face and the different areas of the visual representation of the second face; and responding to the generation of the parts relevancy indications.