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キーワード:
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要旨:
In this paper, we combine Kazhdan's FFT-based approach to
surface reconstruction from oriented points with adaptive
subdivision and partition of unity blending techniques. The
advantages of our surface reconstruction method include a more
robust surface restoration in regions where the surface bends
close to itself and a lower memory consumption. The latter allows
us to achieve a higher reconstruction accuracy than the original
global approach. Furthermore, our reconstruction process is
guided by a global error control achieved by computing the
Hausdorff distance of selected input samples to intermediate
reconstructions.
