Model based object recognition method using a texture engine

Image analysis – Pattern recognition – Template matching

Reexamination Certificate

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C345S502000, C345S552000, C382S103000, C382S280000

Reexamination Certificate

active

07379599

ABSTRACT:
A geometric hashing method usable by a machine vision system for model-based recognition of an object. More specifically, in a computer having a texture engine, a method of pattern matching for recognition of objects within an image. The method comprises the following steps: deriving at least one target primitive representative of the image; forming at least one basis from at least one target primitive; in the texture engine, determining, for each one of the at least one basis, an affine invariant representation of the at least one target primitives; and identifying, using the affine invariant representation, at least one predefined model primitives that at least partially matches the at least one target primitives.

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Tsai. “Robust Affine Invariant Matching with Application to Line Features.” Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Jun. 15, 1993 pp. 393-399.

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