New hierarchical approach to pattern matching for industrial applications

Markus Brandner; Axel J. Pinz; Wolfgang Poelzleitner

doi:10.1117/12.403771

11 October 2000 New hierarchical approach to pattern matching for industrial applications

Markus Brandner, Axel J. Pinz, Wolfgang Poelzleitner

Proceedings Volume 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision; (2000) https://doi.org/10.1117/12.403771
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

Abstract

In this paper a new hierarchical structure for fast, robust geometry-based pattern matching is proposed. As opposed to many pattern matching systems reported in the literature we use a structure comprising a number of alternating feature processing and constraint layers. Feature extraction accuracy ranges from coarse at the bottom of the structure to a fine level at the top. A 2D quasi-affine matching system based on the proposed structure has been implemented. Experiments show the reduction in the amount of image data being processed in every layer of the structure as a consequence of applying constraints to the data between two adjacent feature extraction layers. The structure is able to utilize scalable feature extraction algorithms as well as the incorporation of a priori knowledge into the feature extraction.

Citation Download Citation

Markus Brandner, Axel J. Pinz, and Wolfgang Poelzleitner "New hierarchical approach to pattern matching for industrial applications", Proc. SPIE 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, (11 October 2000); https://doi.org/10.1117/12.403771

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