ID:
231941.0,
MPI für Informatik / Computer Graphics Group |
3D scattered data approximation with adaptive compactly supported radial basis functions |
Authors: | Ohtake, Yutaka; Belyaev, Alexander; Seidel, Hans-Peter |
Editors: | Giannini, Franca; Pasko, Alexander |
Language: | English |
Publisher: | IEEE |
Place of Publication: | Los Alamitos, USA |
Date of Publication (YYYY-MM-DD): | 2004 |
Title of Proceedings: | Shape Modeling International 2004 (SMI 2004) |
Start Page: | 31 |
End Page: | 39 |
Place of Conference/Meeting: | Genova, Italy |
(Start) Date of Conference/Meeting (YYYY-MM-DD): | 2004-06-07 |
Audience: | Experts Only |
Intended Educational Use: | No |
Abstract / Description: | 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. |
Last Change of the Resource (YYYY-MM-DD): | 2005-04-27 |
External Publication Status: | published |
Document Type: | Conference-Paper |
Communicated by: | Hans-Peter Seidel |
Affiliations: | MPI für Informatik/Computer Graphics Group
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Identifiers: | LOCALID:C125675300671F7B-01FB2D4B5B4C2508C1256FAF0037848B-... ISBN:0-7695-2075-8 |
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