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Three-dimensional volume datafield reconstruction from physical model

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Abstract

This paper focuses on entirety interpretation, representation and reconstruction of three-dimensional volume data sets based on the physical model of the data. The data model is represented by three-dimensional geometric model. The surfaces inside the datafield are extracted and matched to the model surfaces 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 represent the data sets. This paper also presents a subdivision algorithm to fast trace B-spline curve and the contrary algorithm is adopted to extract the geometry feature of the curve.

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Authors and Affiliations

  1. State Key Laboratory of CAD & CG, Zhejiang University, 310027, Hangzhou

    Dong Feng, Cai Wenli, Chen Tianzhou & Shi Jiaoying

Authors
  1. Dong Feng
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  2. Cai Wenli
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  3. Chen Tianzhou
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  4. Shi Jiaoying
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Additional information

This work was supported by the National Natural Science Foundation of China grant No.69303008.

Dong Feng received his M.S. degree in physics science from Zhejiang University in 1993. He is currently a Ph.D. candidate at State Key Lab. of CAD & CG, Zhejiang University. His research interests include physical modeling of visualization, three-dimensional medical image reconstruction, visualization of FEM datafield.

For the biography ofCai Wenli, Chen Tianzhou andShi Jiaoying, please refer to p.488, Vol.11, No.5 of this journal.

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Dong, F., Cai, W., Chen, T. et al. Three-dimensional volume datafield reconstruction from physical model. J. of Comput. Sci. & Technol. 12, 217–230 (1997). https://doi.org/10.1007/BF02948972

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  • DOI: https://doi.org/10.1007/BF02948972

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