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Robust feature identification for image-based object recognition

  • US 10,331,970 B2
  • Filed: 12/14/2016
  • Issued: 06/25/2019
  • Est. Priority Date: 04/24/2014
  • Status: Active Grant
First Claim
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1. An 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 medical training image; and

    at least one processor coupled with the memory and, upon execution of the robust feature detection software instructions, is configured to operate as a feature detector to;

    generate training features from the at least one medical training image according to the at least one implementation of the feature detection algorithm where each training feature has a corresponding training feature location within the at least one medical training image;

    transform at least a portion of the at least one medical training image according to an image transformation that includes at least a scale transform, thereby forming a transformed image portion;

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

    store 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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