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Fast pattern classification based on a sparse transform

  • US 8,553,984 B2
  • Filed: 04/30/2009
  • Issued: 10/08/2013
  • Est. Priority Date: 06/02/2008
  • Status: Expired due to Fees
First Claim
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1. A method for determining a feature in a subject image, comprising:

  • performing a sparse transform on a subject image, wherein the sparse transform is selected from a group comprising a wavelet transform and a Fourier transform, to determine a sparse transformed subject image that represents the subject image with a few significant coefficients compared to a number of values in the subject image at each of a plurality of orientations;

    receiving a plurality of number I of patch functions that each is based on a portion of a sparse transformed image at corresponding orientations for a selected image of a training set of images, wherein the plurality of patch functions represent learned features in the training set; and

    sending data that indicates a feature in the subject image based on the transformed subject image and the plurality of patch functions.

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