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SYSTEMS AND METHODS FOR OBJECT RECOGNITION USING A LARGE DATABASE

  • US 20110286628A1
  • Filed: 05/13/2011
  • Published: 11/24/2011
  • Est. Priority Date: 05/14/2010
  • Status: Abandoned Application
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1. A method of organizing a set of recognition models of known objects stored in a database of an object recognition system, the method comprising:

  • determining for each of the known objects a classification model;

    grouping the classification models of the known objects into multiple classification model groups, each of the classification model groups identifying a corresponding portion of the database that contains the recognition models of the known objects having classification models that are members of the classification model group; and

    computing representative classification models for the classification model groups, wherein a representative classification model of a classification model group is derived from the classification models that are members of the classification model group, and wherein the representative classification models are compared to a classification model of a target object when recognizing the target object to enable selection of a subset of the recognition models of the known objects for comparison to a recognition model of the target object.

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