Online training of hierarchical RBF

Authors:
Francesco Bellocchio;Stefano Ferrari;Vincenzo Piuri;N. Alberto Borghese
Affiliations:
Department of Computer Science, University of Milano, Italy;Department of Information Technologies, University of Milano, Italy;Department of Information Technologies, University of Milano, Italy;Department of Computer Science, University of Milano, Italy
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

Efficient multi-scale manifold reconstruction from point clouds can be obtained through the Hierarchical Radial Basis Function (HRBF) network. An online training procedure for HRBF is here presented and applied to real-time surface reconstruction during a 3D scanning session. Results show that the online version compares well with the batch one.