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LEARNING APPARTUS, LEARNING METHOD, RECOGNITION APPARATUS, RECOGNITION METHOD, AND PROGRAM

  • US 20090202145A1
  • Filed: 12/04/2008
  • Published: 08/13/2009
  • Est. Priority Date: 12/07/2007
  • Status: Abandoned Application
First Claim
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1. A learning apparatus comprising:

  • first feature quantity calculating means for pairing a predetermined pixel and a different pixel in each of a plurality of learning images, which includes a learning image containing a target object to be recognized and a learning image not containing the target object, and calculating a first feature quantity of the pair by calculating a texture distance between an area including the predetermined pixel and an area including the different pixel; and

    first discriminator generating means for generating a first discriminator for detecting the target object from an image by a statistical learning using a plurality of the first feature quantities.

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