Geometric pattern matching using dynamic feature combinations

Image analysis – Learning systems – Trainable classifiers or pattern recognizers

Reexamination Certificate

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C382S199000, C382S203000, C382S209000, C706S020000, C706S025000

Reexamination Certificate

active

07340089

ABSTRACT:
A geometric pattern matching method to locate instances of a template image in a target image using a plurality of models with different feature combinations. A learning phase involves learning geometric information about the template image and creating a model for each of a plurality of different respective parent features. Each model comprises a relationship tree from the respective parent feature to one or more other child features, and hence each model may have different feature combinations. In a matching phase, the method may examine a plurality of different models to determine matches in the target image being analyzed. The matching phase may select different models dynamically based on prior matching results.

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