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    Overfitting Control for Surface Reconstruction

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    231-234.pdf (234.9Kb)
    Date
    2006
    Author
    Lee, Yunjin
    Lee, Seungyong ORCID
    Ivrissimtzis, Ioannis
    Seidel, Hans-Peter ORCID
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    Abstract
    This paper proposes a general framework for overfitting control in surface reconstruction from noisy point data. The problem we deal with is how to create a model that will capture as much detail as possible and simultaneously avoid reproducing the noise of the input points. The proposed framework is based on extra-sample validation. It is fully automatic and can work in conjunction with any surface reconstruction algorithm. We test the framework with a Radial Basis Function algorithm, Multi-level Partition of Unity implicits, and the Power Crust algorithm.
    BibTeX
    @inproceedings {10.2312:SGP:SGP06:231-234,
    booktitle = {Symposium on Geometry Processing},
    editor = {Alla Sheffer and Konrad Polthier},
    title = {{Overfitting Control for Surface Reconstruction}},
    author = {Lee, Yunjin and Lee, Seungyong and Ivrissimtzis, Ioannis and Seidel, Hans-Peter},
    year = {2006},
    publisher = {The Eurographics Association},
    ISSN = {1727-8384},
    ISBN = {3-905673-24-X},
    DOI = {10.2312/SGP/SGP06/231-234}
    }
    URI
    http://dx.doi.org/10.2312/SGP/SGP06/231-234
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