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RECOGNITION PROCESSING METHOD AND IMAGE PROCESSING DEVICE USING THE SAME

  • US 20100098324A1
  • Filed: 03/05/2008
  • Published: 04/22/2010
  • Est. Priority Date: 03/09/2007
  • Status: Active Grant
First Claim
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1. A computer-implemented method for recognizing a recognition object based on a correspondence relationship between feature points of the recognition object and pre-registered feature points of a model, the feature points being distributed in a plane or a space, the method comprising the steps of:

  • (i) setting model combinations out of combinations each made up of a particular number n (n≧

    2) of feature points of the feature points of the model, the distance between at least a pair of feature points of each model combination meeting a predefined criterion value, and registering in a memory information for specifying the set model combinations;

    (ii) setting comparison object combinations out of combinations each made up of the particular number n of feature points of the feature points of the recognition object, the distance between at least a pair of feature points of each comparison object combination meeting the criterion value;

    (iii) associating in turn the model combinations specified by the registered information in the memory with the comparison object combinations set in the (ii) step, obtaining per associated combinations a transformation parameter for a case of transforming the feature points of one of the combinations into the feature points of the other combination, and determining goodness of fit of the transformation parameter on a relationship between the feature points of the model and the feature points of the recognition object; and

    (iv) based on each goodness of fit obtained in the (iii) step, specifying a transformation parameter indicating the correspondence relationship between the feature points of the model and the feature points of the recognition object.

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