A RADIAL BASIS FUNCTION BASED APPROACH FOR 3D OBJECT MODELING AND RECONSTRUCTION
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概要
- 論文の詳細を見る
In this paper we propose a new approach for 3D object modeling and reconstruction from range data. Our approach is based on the modelization of the object surfaces with a new set of Radial Basis Functions, we call Parametric Radial Basis Functions PRBF. First, a set of Radial Basis Functions is fitted to a set of 3D scanned points in order to reconstruct the object geometry. Our originality is the fact that the reconstruction is independent from the object geometry and the number; it can be applied for smooth objects as well as objects with sharp boundaries. To enhance the efficiency of the RBF modelization, we propose also an efficient isosurface extraction method based on volumetric processing. Unlike conventional reconstruction techniques, no prior information about the acquisition process is required. We demonstrate the efficiency of our approach through a set of experiments.
- 社団法人電子情報通信学会の論文
- 2003-01-14
著者
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TAKAHASHI Hiroki
Graduate School of Information Science, Nara Institute of Science and Technology
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NAKAJIMA Masayuki
Graduate School of Information Science & Engineering, Tokyo Institute of Technology
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Laga Hamid
Graduate School of Information Science and Engineering Tokyo Institute of Technology
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Takahashi H
Department Of Human Communication The University Of Electro-communications
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Piperakis Romanos
Graduate School of Information Science and Engineering Tokyo Institute of Technology
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Takahashi H
Tokyo Inst. Technol. Jpn
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Laga Hamid
Global Edge Institute Tokyo Institute Of Technology
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Takahashi H
Tokyo Inst. Technol. Tokyo Jpn
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Nakajima Masayuki
Graduate School Of Information And Engineering Tokyo Institute Of Technology
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Takahashi Hiroki
Graduate School Of Human And Environmental Studies Kyoto University
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Takahashi Hiroki
Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan
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Piperakis Romanos
Graduate School of Information Science & Engineering Tokyo Institute of Technology
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