CPC G06F 16/5838 (2019.01) [G06F 16/5846 (2019.01); G06F 16/5854 (2019.01); G06V 10/462 (2022.01); G06V 10/464 (2022.01); G06V 10/772 (2022.01); G06V 10/817 (2022.01); G06V 30/418 (2022.01)] | 18 Claims |
1. A method comprising:
assigning a first template prediction based on a multi-dimensional descriptor vector, the multi-dimensional descriptor vector being associated with a keypoint of a first plurality of keypoints identified based on a digital image of a physical object and by use of a computer vision algorithm;
assigning a second template predictions based on a histogram of the digital image of a physical object using a visual vocabulary, the visual vocabulary is based on a keypoint of a second plurality of keypoints identified based on the digital image by use of a second computer vision algorithm;
reconciling each respective template prediction wherein the template predictions are merged where each respective template prediction is in agreement and eliminating each fewest vote receiving prediction where each respective template prediction is not in agreement; and
in response to said reconciling, classifying the physical object based on a remaining template prediction.
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