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System and method for detection of multi-view/multi-pose objects

  • US 8,391,592 B2
  • Filed: 06/20/2011
  • Issued: 03/05/2013
  • Est. Priority Date: 06/13/2006
  • Status: Active Grant
First Claim
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1. A computer implemented method of training an image classifier comprising:

  • segmenting a candidate exemplar into a number of grid cell image regions;

    computing a gradient orientation histogram for at least one of the grid cell image regions of the candidate exemplar, where the candidate exemplar comprises at least one image of an object to be detected;

    computing a gradient orientation histogram for a plurality of training samples;

    calculating a distance value between the gradient orientation histogram for at least one of the grid cell image regions of the candidate exemplar and the gradient orientation histogram for the plurality of training samples; and

    training the image classifier based on the distance value.

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