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Three-Dimensional Volume Datafield Reconstruction from Physical Model
作者姓名:董峰  蔡文立  陈天洲  石教英
作者单位:State Key Laborutory of CAD & CG,Zhejiang University,Hangzhou 310027
摘    要:1IntroductionVisualizationinscientificcomputingisarapidlygrowingapplicationofcom-putergraphicsandhasmadeanirreplaceablecontributiontothepresentationofscientificdata.Inthepastfewyears,mostoftheresearchesofvisuaJizationfocusedontherenderingofdatasets.Manysurface-basedrenderingandvolumerenderingaPproacheshavebeenputforward1-8].Intheseapplications,thedatafieldsweresimplydescribedasthree-dimensionalregularorirregulardatameshesandtheobjectsinthedatafieldwerereconstructedbyisosurfacesinelemellts.H…


Three-Dimensional Volume Datafield Reconstruction from Physical Model
Dong Feng , Cai Wenli , Chen Tianzhou and Shi Jiaoying.Three-Dimensional Volume Datafield Reconstruction from Physical Model[J].Journal of Computer Science and Technology,1997(3).
Authors:Dong Feng  Cai Wenli  Chen Tianzhou and Shi Jiaoying
Abstract:This paper focuses on entirety ioterpretation, representation and reconstruction of three-dimensional volume data sets based on the physical model of the data. The data model is represented by thIee-dimensional geometric model.The surfaces inside the datafield are extracted and matched to the model stirfaces in order to reconstruct the new datafield based on the model. A conclusion is drawn that physical modeling provides a good basis and approach to interpret and represellt the data sets. This paPer also presents a subdivision algorithm to fast traJce B-spline curve and the colltrary algorithm is adopted to extract the geometry feature of the curve.
Keywords:Visualization  physical modeling  datafield reconstruction  surface extraction  geometry feature matching
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