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Pacific-Rim Conference on Multimedia

PCM 2001: Advances in Multimedia Information Processing — PCM 2001 pp 1078–1083Cite as

A Fuzzy Inference System for Simplifying Surfaces with Color

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2195))

Abstract

A fuzzy inference system is presented in this paper for simplifying surfaces with color. We first propose a fuzzy surface position uncertainty, a fuzzy surface curvature uncertainty and a fuzzy surface color uncertainty to respectively measure the variations of surface position, surface curvature and surface color while simplifying surfaces. We then utilize the TSK fuzzy inference system integrating the proposed fuzzy uncertainties to determine the cost as the criteria of removing a portion of surface models. Experimental results show that our approach does produce high quality approximations of surfaces.

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References

  1. Ciampalini, A., Cignoni, P., Mantani, C., Scopigno, R.: Multiresolution Decimation Based on Global Error. The Visual Computer 13 (1997) 228–246

    Article  Google Scholar 

  2. Cohen, J., Olano, M., Manocha, D.: Appearance-Preserving Simplification. Computer Graphics (SIGGRAPH’98 Proceedings) (1998) 115–122

    Google Scholar 

  3. Garland, M., Heckbert, P.S.: Surface Simplification Using Quadric Error Metrics. Computer Graphics (SIGGRAPH’97 Proceedings) (1997) 209–224

    Google Scholar 

  4. Garland, M., Heckbert, P.S.: Simplifying Surfaces with Color and Texture Using Quadric Error Metrics. IEEE Visualization’98 Proceedings (1998) 263–269

    Google Scholar 

  5. Giarratano, J., Riley, G.: Expert Systems: Principles and Programming. PWS-KENT Publishing Company (1989)

    Google Scholar 

  6. Hoppe, H.: Progressive Meshes. Computer Graphics (SIGGRAPH’96 Proceedings) (1996) 99–108

    Google Scholar 

  7. Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., Stuetzle, W.: Mesh Optimization. Computer Graphics (SIGGRAPH’93 Proceedings) (1993) 19–26

    Google Scholar 

  8. Kase, D., Hamamoto, T., Hangai, H.: An Interactive Quality Evaluation of Reduction Polygon Model. 2000 International Conference on Image Processing Proceedings 2 (2000) 879–882

    Google Scholar 

  9. Klein, R., Liebich, G., Strasser, W.: Mesh Reduction with Error Control. IEEE Visualization’ 96 Proceedings (1996) 311–318

    Google Scholar 

  10. Ronfard, R., Rossignac, J.R.: Full-Range Approximation of Triangulated Polyhedra. EUROGRAPHICS’96 Proceedings 15 (1996) 67–76

    Google Scholar 

  11. Sugeno, M., Kang, G.T.: Structure Identification of Fuzzy Model. Fuzzy Sets and Systems 28 (1988) 15–33

    Article  MATH  MathSciNet  Google Scholar 

  12. Takagi, T., Sugeno, M.: Fuzzy Identification of System and Its Applications to Modeling and Control. IEEE Trans. SMC 3 (1985) 116–132

    Google Scholar 

  13. Zadeh, L.A.: Fuzzy Sets. Inf. Control 8 (1965) 338–353

    MATH  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Computer & Communications Research Laboratories, Industrial Technology Research Institute, Chutung, Hsinchu, Taiwan, R.O.C.

    Chin-Chen Chang

  2. Opto-Electronics & System Laboratories, Industrial Technology Research Institute, Chutung, Hsinchu, Taiwan, R.O.C.

    Shu-Kai Yang, Ding-Zhou Duan & Ming-Fen Lin

  3. Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C.

    JunWei Hsieh

Authors
  1. Chin-Chen Chang
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  2. Shu-Kai Yang
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  3. JunWei Hsieh
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  4. Ding-Zhou Duan
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  5. Ming-Fen Lin
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Editor information

Editors and Affiliations

  1. Microsoft Research China, 5/F Beijing Sigma Center 49 Zhichung Road, Haidian District, Beijing, 100080, China

    Heung-Yeung Shum

  2. Institute of Information Science, Academia Sinica, Taiwan

    Mark Liao

  3. Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA

    Shih-Fu Chang

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chang, CC., Yang, SK., Hsieh, J., Duan, DZ., Lin, MF. (2001). A Fuzzy Inference System for Simplifying Surfaces with Color. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_147

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  • DOI: https://doi.org/10.1007/3-540-45453-5_147

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42680-6

  • Online ISBN: 978-3-540-45453-3

  • eBook Packages: Springer Book Archive

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