Adaptive acquisition of virtualized deformable objects with a neural gas network

TitleAdaptive acquisition of virtualized deformable objects with a neural gas network
Publication TypeConference Paper
Year of Publication2005
AuthorsCretu, A. - M., J. Lang, and E. M. Petriu
Conference NameHaptic Audio Visual Environments and their Applications, 2005. IEEE International Workshop on
Pagination6 pp.
Date Publishedoct.
Keywordsadaptive acquisition, compliance measurement, deformable model, deformation, elastic behavior, model acquisition, neural gas architecture, neural gas network, neural nets, self-organizing architecture, solid modelling, virtual reality, virtualized deformable object
Abstract

The paper presents a novel approach to guide the acquisition of deformable objects by selecting only a few measurements on the surface of the object. The main idea relies on embedding elastic behavior as a fourth dimension in a neural gas architecture and obtain the sample points as a result of its training. The technique has been successfully applied for objects exhibiting both homogeneous and non-homogeneous elasticity. Early results prove the feasibility and validity of the proposed method.

URLhttp://dx.doi.org/10.1109/HAVE.2005.1545672
DOI10.1109/HAVE.2005.1545672

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