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A Local-Frame Based Method for Vector Field Construction on Raw Point Cloud

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Advances in Visual Computing (ISVC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6453))

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Abstract

Direction fields are an essential ingredient in controlling surface appearance for applications ranging from anisotropic shading to texture synthesis and non-photorealistic rendering. Applying local principal covariance analysis, we present a simplistic way for constructing local frames used for vector field generation on point-sampled models. Different kinds of vector fields can be achieved by assigning different planar vectors to the local coordinates. Unlike previous methods, in the proposed algorithm, there is no need of user constraints or any extra smoothing and relaxation process. Experimental results in the isotropic remeshing and texture synthesis are used to demonstrate its performance.

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Author information

Authors and Affiliations

  1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

    Xufang Pang, Zhan Song & Xi Chen

  2. The Chinese University of Hong Kong, Hong Kong

    Xufang Pang, Zhan Song & Xi Chen

Authors
  1. Xufang Pang
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  2. Zhan Song
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  3. Xi Chen
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. The Chinese University of Hong Kong, Shatin, Hong Kong, China

    Ronald Chung

  6. Dyna Vox Systems, Pittsburgh, PA, USA

    Riad Hammoud

  7. King Saud University, Riyadh, Saudi Arabia

    Muhammad Hussain

  8. Hewlett Packard Labs, Paolo Alto, CA, USA

    Tan Kar-Han

  9. The Ohio State University, Columbus, OH, USA

    Roger Crawfis

  10. Virtual Reality Lab, EPFL, Lausanne, Switzerland

    Daniel Thalmann

  11. NASA Ames Research Center, Clifton Park, NY, USA

    David Kao

  12. Kitware, Clifton Park, NY, USA

    Lisa Avila

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© 2010 Springer-Verlag Berlin Heidelberg

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Pang, X., Song, Z., Chen, X. (2010). A Local-Frame Based Method for Vector Field Construction on Raw Point Cloud. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17289-2_59

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  • DOI: https://doi.org/10.1007/978-3-642-17289-2_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17288-5

  • Online ISBN: 978-3-642-17289-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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