11 October 2000 New hierarchical approach to pattern matching for industrial applications
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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.
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Markus Brandner, Axel J. Pinz, 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); doi: 10.1117/12.403771; https://doi.org/10.1117/12.403771
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