Parameterization of point-cloud freeform surfaces using adaptive sequential learning RBFnetworks

We propose a self-organizing Radial Basis Function (RBF) neural network method for parameterization of freeform surfaces from larger, noisy and unoriented point clouds. In particular, an adaptive sequential learning algorithm is presented for network construction from a single instance of point set....

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Bibliographic Details

Main Authors:	Qinggang Meng, Baihua Li, Horst Holstein, Yonghuai Liu
Format:	Default Article
Published:	2013
Subjects:	Artificial intelligence not elsewhere classified Other information and computing sciences not elsewhere classified Surface parameterization Point clouds Adaptive sequential learning Artificial Intelligence and Image Processing Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/11745
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