Adaptive Fourier-Based Surface Reconstruction

12 years 7 months ago
Adaptive Fourier-Based Surface Reconstruction
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 include also a more robust surface restoration in regions where the surface folds back to itself. Key words: Surface Reconstruction, Fast Fourier Transform (FFT), Oriented Point Data, Partition of Unity
Oliver Schall, Alexander G. Belyaev, Hans-Peter Se
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where GMP
Authors Oliver Schall, Alexander G. Belyaev, Hans-Peter Seidel
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