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Framework for Adaptive Sampling of Point-Based Surfaces Using Geometry and Color Attributes

  • Duck Bong Kim
  • Eui Chul Kang
  • Kwan H. Lee
  • Renato B. Pajarola
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3992)

Abstract

Point-based rendering has offered a powerful alternative to triangle meshes when it comes to the rendering of highly complex objects consisting of densely sampled point clouds due to its flexibility and simplicity. The technological advance of 3D scanners has made it possible to acquire color as well as geometry data of highly complex objects. However, scanning and acquisition systems often produce surfaces that are much more dense than actually required for the intended application. Mobile devices, computer games and distributed virtual environments must often operate on systems where rendering and transmission capacity is highly constrained and therefore require strict control over the level of detail used in models. In this research, we present a framework for adaptive sampling of point-based surfaces using both geometry and color information.

Keywords

Visual Quality Complex Object Adaptive Sampling Geometry Information Surface Splat 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Pauly, M., Gross, M., Kobbelt, L.P.: Efficient Simplification of Point-Sampled Surfaces. In: Proc. IEEE Visualization 2002, pp. 163–170 (2002)Google Scholar
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    Wu, J., Kobbelt, L.: Optimized Sub-Sampling of Point Sets for Surface Splatting. Computer Graphics Forum 23(3), 53–64 (2004)Google Scholar
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    Pajarola, R.B., Sainz, M., Guidotiti, P.: Confetti Object-Space Point Blending and Splatting. IEEE Transaction on Visualization and Computer Graphics (2004)Google Scholar
  4. 4.
    Lee, K.H., Woo, H., Suk, T.: Point Data Reduction Using 3D Grids. The International Journal of Advanced manufacturing Technology 18, 201–210 (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Duck Bong Kim
    • 1
  • Eui Chul Kang
    • 1
  • Kwan H. Lee
    • 1
  • Renato B. Pajarola
    • 2
  1. 1.Department of MechatronicsGwangju Institute of Science and Technology (GIST), Intelligent Design and Graphics laboratoryGwangjuKorea
  2. 2.Department of InformaticsUniv. of ZurichZurichSwitzerland

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