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Computer Vision and Graphics pp 1094–1099Cite as

EVOLUTIONARY APPROACH FOR DATA VISUALIZATION

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Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

Abstract

Simulated Annealing heuristic is used for the Weight optimization of NURBS for visualization of data. The objective of the method is to visualize data by reducing the error and to obtain a smooth curve.

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Author information

Authors and Affiliations

  1. Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, KFUPM # 1510, Dhahran, 31261, Saudi Arabia

    M. Sarfraz, M. Riyazuddin & M. Humayun Baig

Authors
  1. M. Sarfraz
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  2. M. Riyazuddin
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  3. M. Humayun Baig
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Sarfraz, M., Riyazuddin, M., Humayun Baig, M. (2006). EVOLUTIONARY APPROACH FOR DATA VISUALIZATION. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_160

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_160

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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