Subtractive primitives used in pattern matching

Image analysis – Pattern recognition – Template matching

Reexamination Certificate

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C382S220000

Reexamination Certificate

active

11065960

ABSTRACT:
A method for recognizing an object in a target image using model primitives comprising an additive primitive and a subtractive primitive; weights are assigned to the additive and subtractive primitives; a target primitive is derived for the object; associations are determined between the target primitive and the model primitives; a similarity score is computed for the target primitive with respect to the model primitives; the similarity score is increased for each association between the target primitive and the additive primitive and decreased for each association between the target primitive and the subtractive primitive; the weights determine an amount by which the similarity score is increased or decreased for each of the associations.

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Yaron C. Hecker and Ruud M. Bolle, On Geometric Hashing and the Generalized Hough Transform, IEEE Transactions on Systems, Man, and Cybernetics, Sep. 1994, pp. 1328-1338, vol. 24, No. 9.

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