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Surface Reconstruction Based on Hierarchical Floating Radial Basis Functions

基于层次漂浮的光线的基础功能的表面重建

作     者:Suessmuth, J. Meyer, Q. Greiner, G. 

作者机构:Univ Erlangen Nurnberg Comp Graph Grp D-8520 Erlangen Germany 

出 版 物:《COMPUTER GRAPHICS FORUM》 (计算机图形学论坛)

年 卷 期:2010年第29卷第6期

页      面:1854-1864页

核心收录:

学科分类:08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

主  题:surface reconstruction radial basis function approximation floating centres signed distance function 

摘      要:In this paper we address the problem of optimal centre placement for scattered data approximation using radial basis functions (RBFs) by introducing the concept of floating centres. Given an initial least-squares solution, we optimize the positions and the weights of the RBF centres by minimizing a non-linear error function. By optimizing the centre positions, we obtain better approximations with a lower number of centres, which improves the numerical stability of the fitting procedure. We combine the non-linear RBF fitting with a hierarchical domain decomposition technique. This provides a powerful tool for surface reconstruction from oriented point samples. By directly incorporating point normal vectors into the optimization process, we avoid the use of off-surface points which results in less computational overhead and reduces undesired surface artefacts. We demonstrate that the proposed surface reconstruction technique is as robust as recent methods, which compute the indicator function of the solid described by the point samples. In contrast to indicator function based methods, our method computes a global distance field that can directly be used for shape registration.

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