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System and method for image comparison based on hyperplanes similarity

  • US 10,452,958 B2
  • Filed: 10/06/2017
  • Issued: 10/22/2019
  • Est. Priority Date: 10/06/2017
  • Status: Active Grant
First Claim
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1. An image processing system, comprising:

  • a memory to store data indicative of benchmark feature vectors of benchmark images;

    an input interface to accept data indicative of a first feature vector of a first image and a second feature vector of a second image, wherein the benchmark images do not include the first image and the second image;

    a processor to determine a similarity value between the first and the second images using a first hyperplane separating the benchmark feature vectors from the first feature vector and a second hyperplane separating the benchmark feature vectors from the second feature vector, wherein the processor is configured todetermine a first normal vector to the first hyperplane as the difference between the first feature vector and the mean of the benchmark feature vectors;

    determine an offset for the first hyperplane as the average of the maximum inner product of the benchmark feature vectors with the first normal vector and the inner product of the first feature vector with the first normal vector; and

    determine the similarity value as a function of a sum of a signed distance of the second feature vector to the first hyperplane and a signed distance of the first feature vector to the second hyperplane; and

    an output interface to render the similarity value.

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