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Hybrid detection recognition system

  • US 10,242,036 B2
  • Filed: 06/30/2016
  • Issued: 03/26/2019
  • Est. Priority Date: 08/14/2013
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving, by one or more processors, a first image;

    determining, by the one or more processors, a plurality of regions of interest that share a similar spatial location in the first image;

    ranking, by the one or more processors, the plurality of regions of interest;

    selecting, from the plurality of regions of interest, a predetermined number of regions of interest for the similar spatial location based on the ranking;

    determining, by the one or more processors, classification scores for the predetermined number of regions of interest using a convolutional neural network, the convolutional neural network assigning the predetermined number of regions of interest the classification scores corresponding to a product class;

    matching, by the one or more processors, the predetermined number of regions of interest in the first image to indexed images using model-based features to determine a second image and a matching score associated with the second image;

    adjusting, by the one or more processors, the classification scores based on the matching score; and

    identifying, by the one or more processors, a first product in the first image based on the adjusted classification scores.

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