Neural network-based adaptive sampling of 3D object surface elastic properties

TitleNeural network-based adaptive sampling of 3D object surface elastic properties
Publication TypeConference Paper
Year of Publication2004
AuthorsCretu, A. - M., E. M. Petriu, and G. G. Patry
Conference NameInstrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Pagination285 - 290 Vol.1
Date Publishedmay.
Keywords3D object surface elastic properties, data reduction, dexterous manipulators, dimensionality reduction, elasticity, image sampling, Kohonen self-organizing map, neural gas network, neural network-based adaptive sampling, nonuniform elastic property measurement, probing points, self-organising feature maps, self-organizing neural network architectures, shape measurement, stereo image processing
Abstract

The paper discusses two self-organizing neural network (NN) architectures, the neural gas network and the Kohonen self-organizing map (SOM) for the adaptive sampling and the reduction of the dimensionality of the set of probing points in the measurement of the nonuniform elastic properties of 3D objects.

URLhttp://dx.doi.org/10.1109/IMTC.2004.1351046
DOI10.1109/IMTC.2004.1351046

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