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Surface reconstruction of laser scanner data using piecewise RBF methods

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2 Author(s)
Johnston, R.A. ; ARANZ Scanning Ltd. (ASL), Christchurch ; Price, N.B.

Digital, three-dimensional models of real world objects are required for many applications. These can be obtained by fitting global radial basis functions to point cloud data captured using laser scanners, a process that can be computationally intensive for large data sets. A faster approach is to evaluate a number of local radial basis functions and combine these into a complete representation. This paper demonstrates a partition of unity approach to this problem, adapted from a method outlined in Tobor et al. [Journal of WSCG, Vol.12, No.1-3, 2004]. Results are presented for synthetic and real point cloud data captured with a FastSCANtrade laser scanner, using standard and novel isosurfacing methods.

Published in:

Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference

Date of Conference:

26-28 Nov. 2008