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Computer Vision and Graphics pp 125–130Cite as

USER-CONTROLLED MULTIRESOLUTION MODELING OF POLYGONAL MODELS

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

Abstract

Exploiting the simplification hierarchy and hypertriangulation model, a unified framework (ADSIMP) has been proposed for user-controlled creation of multiresolution meshes5. For this system, here we present a new set of compact data structures for holding the multiresolution model, which is not only memory efficient but also supports the creation of hypertriangulation model simultaneous with bottom-up vertex hierarchy generation. The new proposed construction algorithm, based on multiple choice optimization simplification technique, is faster and makes available ADSIMP for real time applications. Comparison with related work shows that the new system provides combined environment at reduced overhead of memory space usage and faster running

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REFERENCES

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Author information

Authors and Affiliations

  1. 1Graduate School of Information Science and Electrical Engineering, Kyushu University, 6-1, Kasuga Koen, Kasuga, Fukuoka, 816-8580, Japan

    Muhammad Hussain, Yoshihiro Okada & Koichi Niijima

  2. Intelligent Cooperation and Control, PRESTO, (JST), Japan

    Muhammad Hussain & Yoshihiro Okada

Authors
  1. Muhammad Hussain
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  2. Yoshihiro Okada
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  3. Koichi Niijima
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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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Hussain, M., Okada, Y., Niijima, K. (2006). USER-CONTROLLED MULTIRESOLUTION MODELING OF POLYGONAL MODELS. 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_19

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_19

  • 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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