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  Adaptive Fourier-Based Surface Reconstruction

Schall, O., Belyaev, A., & Seidel, H.-P. (2006). Adaptive Fourier-Based Surface Reconstruction. In Geometric modeling and processing - GMP 2006 : 4th International Conference (pp. 34-44). Berlin, Germany: Springer.

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 Creators:
Schall, Oliver1, Author           
Belyaev, Alexander1, Author           
Seidel, Hans-Peter1, Author                 
Kim, Myung-Soo, Editor
Shimada, Kenji, Editor
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1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2007-03-062006
 Publication Status: Issued
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 Identifiers: eDoc: 314654
Other: Local-ID: C125675300671F7B-5F4CB40EC76046B8C125718600389B53-gmp06sbs
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Title: Untitled Event
Place of Event: Pittsburgh, PA, USA
Start-/End Date: 2006-07-26

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Title: Geometric modeling and processing - GMP 2006 : 4th International Conference
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 34 - 44 Identifier: ISBN: 3-540-36711-X

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Title: Lecture Notes in Computer Science
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Pages: - Volume / Issue: 4077 Sequence Number: - Start / End Page: - Identifier: -