Cellular neural network-based object recognition with deformable grids

Authors:
Piotr Korbel;Krzysztof Slot
Affiliations:
Technical University of Lodz, Institute of Electronics, Lodz, Poland;Technical University of Lodz, Institute of Electronics, Lodz, Poland
Venue:
Machine Graphics & Vision International Journal
Year:
2006

Citing 3
Cited 0

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Abstract

The following paper presents an idea for a parallel implementation of the deformable grid paradigm within the framework of Cellular Neural Networks. Parallel processing may alleviate the problem of high complexity of deformable template matching and significantly speed up object recognition tasks. The paper presents details of a CNN-based implementation of the basic element of the deformable grid-based image processing, which is image-grid matching. Estimated execution speed of the CNN-based method and recognition rates achieved in the experiments make the method an attractive framework for applications such as high-speed coarse object classification.