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The Method of Lossless 3D Point Cloud Compression Based on Space Filling Curve Implementation

  • Victor V. Alexandrov
  • Sergey V. Kuleshov
  • Alexey J. Aksenov
  • Alexandra A. ZaytsevaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 466)

Abstract

This paper proposes a method of reordering point cloud into a bit stream which has ordered structure, and features the ability to save local space features, which allows to use the methods of run-length encoding to reduce the bit volume of the scanned 3D data. The proposed method can be implemented in software designed to work with 3D scanned data, raw 3D data transmission for further post-processing of complex spatial forms.

Keywords

3D-modeling 3D scanning Point cloud 3D model 3D compression Space-filling curve 

Notes

Acknowledgments

This work is supported by state research № 0073-2014-0005.

References

  1. 1.
    Alexandrov, V.V., Sarychev, V.A.: Digital programming technologies. J. Inf.-Meas. Control Syst. 11(8), 3–9 (2010) (in Russian)Google Scholar
  2. 2.
    Alexandrova, V.V., Zaytseva, A.A.: 3D technology and cognitive programming. J. Inf.-Meas. Control Syst. 5(10), 61–64 (2012) (in Russian)Google Scholar
  3. 3.
    Alexandrova, V.V., Zaytseva, A.A., Tyzhnenko, D.A.: The scanning and editing of the 3D object for rapid prototyping. J. Inf.-Meas. Control Syst. 9(11), 53–57 (2013) (in Russian)Google Scholar
  4. 4.
    Kuleshov, S.V.: The real 3D scene representation format for three dimensional television (True3D Vision). J. Inf.-Meas. Control Syst. 7(4), 49–52 (2009) (in Russian)Google Scholar
  5. 5.
  6. 6.
    3D scanning in the Interests of 3D modelling, http://www.comprice.ru/articles/detail.php?ID=40134 (in Russian)
  7. 7.
    Kuleshov, S.V.: Criterion for evaluating the energy efficiency of video data compression process. J. Inf.-Meas. Control Syst. 8(11), 16–18 (2010) (in Russian)Google Scholar
  8. 8.
    Huffman, D.A.: A method for the construction of minimum redundancy codes. Proc. IRE 40, 1098–1101 (1962)CrossRefGoogle Scholar
  9. 9.
    Witten, I., Neal, R.M., Cleary, G.: Arithmetic coding for data compression. J. Comm. ACM 30(6), 520–540 (1987)CrossRefGoogle Scholar
  10. 10.
    Schnabel, R., Klein, R.: Octree-based point-cloud compression. In: Proceedings of Symposium on Point-Based Graphics 2006, pp. 111–120 (2006)Google Scholar
  11. 11.
    Merry, B., Marais, P., Gain, J.: Compression of dense and regular point clouds. In: Proceedings of the 4th International Conference on Virtual Reality, Computer Graphics, Visualization and Interaction in Africa, pp. 15–20. ACM Press, New York, NY, USA (2006)Google Scholar

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© Springer International Publishing Switzerland 2016

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Authors and Affiliations

  • Victor V. Alexandrov
    • 1
  • Sergey V. Kuleshov
    • 1
  • Alexey J. Aksenov
    • 1
  • Alexandra A. Zaytseva
    • 1
    Email author
  1. 1.St.-Petersburg Institution for Informatics and Automation of RASSt.-PetersburgRussia

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