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Feature-Constrained Texturing System for 3D Models

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

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

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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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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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