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  3D Scattered Data Approximation with Adaptive Compactly Supported Radial Basis Functions

Ohtake, Y., Belyaev, A., & Seidel, H.-P. (2004). 3D Scattered Data Approximation with Adaptive Compactly Supported Radial Basis Functions. In F. Giannini, & A. Pasko (Eds.), Shape Modeling International 2004 (pp. 31-39). Los Alamitos, USA: IEEE.

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 Creators:
Ohtake, Yutaka1, Author           
Belyaev, Alexander1, Author           
Seidel, Hans-Peter1, Author                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: In this paper, we develop an adaptive RBF fitting procedure
for a high quality approximation of a set of points scattered
over a piecewise smooth surface. We use compactly supported
RBFs whose centers are randomly chosen from the points.
The randomness is controlled by the point density and surface
geometry. For each RBF, its support size is chosen adaptively
according to surface geometry at a vicinity of the RBF center.
All these lead to a noise-robust high quality approximation of
the set. We also adapt our basic technique for shape
reconstruction from registered range scans by taking into
account measurement confidences. Finally, an interesting link
between our RBF fitting procedure and partition of unity
approximations is established and discussed.

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Language(s): eng - English
 Dates: 2005-04-272004
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231941
Other: Local-ID: C125675300671F7B-01FB2D4B5B4C2508C1256FAF0037848B-smi04obs
BibTex Citekey: Ohtake-et-al_SMI04
DOI: 10.1109/SMI.2004.1314491
 Degree: -

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Title: 2004 International Conference on Shape Modeling and Applications
Place of Event: Genova, Italy
Start-/End Date: 2004-06-07 - 2004-06-09

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Title: Shape Modeling International 2004
  Abbreviation : SMI 2004
Source Genre: Proceedings
 Creator(s):
Giannini, Franca1, Editor
Pasko, Alexander1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Los Alamitos, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 31 - 39 Identifier: ISBN: 0-7695-2075-8