CPC G06V 20/52 (2022.01) [G06F 18/22 (2023.01); G06V 10/26 (2022.01)] | 15 Claims |
1. A computer-implemented method, comprising:
acquiring, by one or more processors, a digital image that captures an environment containing at least a first subject;
segmenting, by one or more of the processors, a first portion of the digital image depicting the first subject into a plurality of superpixels;
for each superpixel of the plurality of superpixels:
assigning, by one or more of the processors, a semantic label to the superpixel,
extracting, by one or more of the processors, features of the superpixel, and
determining, by one or more of the processors, a measure of similarity between the features extracted from the superpixel and features extracted from a reference superpixel identified in a reference digital image, wherein the reference superpixel has a reference semantic label that matches the semantic label assigned to the superpixel; and
determining, by one or more of the processors, based on the measures of similarity associated with the plurality of superpixels, that the first subject is depicted in the reference image.
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