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Feature-Constrained Texturing System for 3D Models

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

  • 1074 Accesses

Abstract

Significant number of parameterization methods has been proposed to perform good quality of texturing 3D models. However, most methods are hard to be extended for handling the texture mapping with constraints. In this paper, we develop a new algorithm to achieve the matching of the features between the model and texture image. To minimize the distortion artifacts from the matching algorithm, a L2 stretch metric is also applied to optimize the u,v map defined in parameterization domain.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, Republic of China

    Tong-Yee Lee & Shaur-Uei Yan

Authors
  1. Tong-Yee Lee
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  2. Shaur-Uei Yan
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Lee, TY., Yan, SU. (2005). Feature-Constrained Texturing System for 3D Models. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_67

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  • DOI: https://doi.org/10.1007/11553939_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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