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Implicit Shape Reconstruction of Unorganized Points Using PDE-Based Deformable 3D Manifolds
作者姓名:Elena
作者单位:[1]Department of Mathematics-CIRAM, University of Bologna, Via Saragozza 8,40123 Bologna, Italy [2]Department of Mathematics, University of Bologna, Piazza Porta S. Donato 5,40126 Bologna, Italy
基金项目:project,"Progetti Strategici EF2006" University of Bologna,University of Bologna "Funds for selected research topics"
摘    要:<正>In this work we consider the problem of shape reconstruction from an unorganized data set which has many important applications in medical imaging,scientific computing,reverse engineering and geometric modelling.The reconstructed surface is obtained by continuously deforming an initial surface following the Partial Differential Equation(PDE)-based diffusion model derived by a minimal volume-like variational formulation.The evolution is driven both by the distance from the data set and by the curvature analytically computed by it.The distance function is computed by implicit local interpolants defined in terms of radial basis functions.Space discretization of the PDE model is obtained by finite co-volume schemes and semi-implicit approach is used in time/scale.The use of a level set method for the numerical computation of the surface reconstruction allows us to handle complex geometry and even changing topology, without the need of user-interaction.Numerical examples demonstrate the ability of the proposed method to produce high quality reconstructions.Moreover,we show the effectiveness of the new approach to solve hole filling problems and Boolean operations between different data sets.

关 键 词:Partial  Differential  Equation  surface  reconstruction  numerical  computation  Boolean  operations  distance  function  level  set  method  data  set  complex  geometry  approach  diffusion  model  effectiveness  high  quality  different  problems  changing  used  in  medical  initial  defined  PDE

Implicit Shape Reconstruction of Unorganized Points Using PDE-Based Deformable 3D Manifolds
Elena.Implicit Shape Reconstruction of Unorganized Points Using PDE-Based Deformable 3D Manifolds[J].Numerical Mathematics A Journal of Chinese Universities English Series,2010,3(4).
Authors:Elena Franchini  Serena Morigi  Fiorella Sgallari
Abstract:In this work we consider the problem of shape reconstruction from an unorganized data set which has many important applications in medical imaging, scientific computing, reverse engineering and geometric modelling. The reconstructed surface is obtained by continuously deforming an initial surface following the Partial Differential Equation (PDE)-based diffusion model derived by a minimal volume-like variational formulation. The evolution is driven both by the distance from the data set and by the curvature analytically computed by it. The distance function is computed by implicit local interpolants defined in terms of radial basis functions. Space discretization of the PDE model is obtained by finite co-volume schemes and semi-implicit approach is used in time/scale. The use of a level set method for the numerical computation of the surface reconstruction allows us to handle complex geometry and even changing topology,without the need of user-interaction. Numerical examples demonstrate the ability of the proposed method to produce high quality reconstructions. Moreover, we show the effectiveness of the new approach to solve hole filling problems and Boolean operations between different data sets.
Keywords:Shape reconstruction  RBF interpolation  PDE diffusion model  segmentation
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