CPC G06V 40/173 (2022.01) [G06N 3/08 (2013.01); G06T 19/00 (2013.01); G06V 40/165 (2022.01)] | 21 Claims |
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.
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