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Error-guided adaptive Fourier-based surface reconstruction
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DOI：10.1016/j.cad.2007.02.005.png)
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In this paper, we propose to combine Kazhdan's FFT-based approach to surface reconstruction from oriented points with adaptive subdivision and partition of unity blending techniques. This removes the main drawback of the FFT-based approach which is a high memory consumption for geometrically complex datasets. This allows us to achieve a higher reconstruction accuracy compared with the original global approach. Furthermore, our reconstruction process is guided by a global error control accomplished by computing the Hausdorff distance of selected input samples to intermediate reconstructions. The advantages of our surface reconstruction method also include a more robust surface restoration in regions where the surface folds back to itself. (c) 2007 Elsevier Ltd. All rights reserved.
Keyword:
surface reconstruction
fast Fourier transform (FFT)
oriented point data
partition of unity
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