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Robust feature identification for image-based object recognition

  • US 10,719,731 B2
  • Filed: 06/24/2019
  • Issued: 07/21/2020
  • Est. Priority Date: 04/24/2014
  • Status: Active Grant
First Claim
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1. A product image feature detection device comprising:

  • a tangible, non-transitory, computer-readable memory configured to store robust feature detection software instructions including at least one implementation of a feature detection algorithm, and at least one product training image; and

    at least one processor coupled with the memory that, upon execution of the robust feature detection software instructions;

    generates training features from the at least one product training image according to the at least one implementation of the feature detection algorithm, wherein each training feature has a corresponding training feature location within the at least one product training image;

    transforms at least a portion of the at least one product training image according to an image transformation, thereby forming a transformed image portion;

    generates transform features from the transformed image portion according to the at least one implementation of the feature detection algorithm, wherein each transform feature has a corresponding transform feature location within the transformed image portion; and

    stores in the memory a set of robust features, wherein each robust feature in the set represents a training feature, based on the image transform, having a training feature transformed location proximal to a transform feature location.

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