Summary
In point-based graphics, surfaces are represented by point clouds without explicit connectivity. If the distribution of the points can be carefully controlled, surface reconstruction becomes a much easier problem. We present a simple, completely local surface reconstruction algorithm for input point distributions that are locally uniform. The locality of the computation lets us handle large point sets using parallel and out-of-core methods. The algorithm can be implemented robustly with floating-point arithmetic. We demonstrate the simplicity, efficiency, and numerical stability of our algorithm with an out-of-core and parallel implementation using graphics hardware.
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Kil, Y.J., Amenta, N. (2008). GPU-Assisted Surface Reconstruction on Locally-Uniform Samples. In: Garimella, R.V. (eds) Proceedings of the 17th International Meshing Roundtable. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87921-3_22
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DOI: https://doi.org/10.1007/978-3-540-87921-3_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87920-6
Online ISBN: 978-3-540-87921-3
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