Simplification of Moving 3D Scene Data on GPU

Rajesh Chenchu, Nick Michiels, Sammy Rogmans, Philippe Bekaert

Abstract

Real-time large scale continuous image and geometry based data visualization, with an uninterrupted content delivery, quality and rendering, on home and mobile devices is difficult or even mostly impossible because of the low processing capabilities of these hardware devices. However, a gracefully simplified version of the same data can enable us to view the content without significant quality degradation. To do this in a graceful manner, we extended a well-known concept - called ’billboard cloud’ - for animated scene data and implemented this technique using the capabilities of the GPU to generate the simplified versions of large scale data sets.

References

  1. Coffman, Jr., E. G., Garey, M. R., and Johnson, D. S. (1997). Approximation algorithms for np-hard problems. chapter Approximation Algorithms for Bin Packing: A Survey, pages 46-93. PWS Publishing Co., Boston, MA, USA.
  2. Décoret, X., Durand, F., Sillion, F. X., and Dorsey, J. (2003). Billboard clouds for extreme model simplification. In ACM SIGGRAPH 2003 Papers, SIGGRAPH 7803, pages 689-696, New York, NY, USA. ACM.
  3. Garland, M. and Heckbert, P. S. (1997). Surface simplification using quadric error metrics. In Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 7897, pages 209-216, New York, NY, USA. ACM Press/AddisonWesley Publishing Co.
  4. Huang, I. (2004). Improved Billboard Clouds for Extreme Model Simplification . Computer Science)-University of Auckland.
  5. Lacewell, J. D., Edwards, D., Shirley, P., and Thompson, W. B. (2006). Stochastic billboard clouds for interactive foliage rendering. J. Graphics Tools, 11(1):1-12.
  6. Luebke, D. P. (2001). A developer's survey of polygonal simplification algorithms. IEEE Comput. Graph. Appl., 21(3):24-35.
  7. Porter, T. and Duff, T. (1984). Compositing digital images. In Proceedings of the 11th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 7884, pages 253-259, New York, NY, USA. ACM.
  8. Puppo, E. and Scopigno, R. (1997). Simplification, lod and multiresolution - principles and applications.
  9. SCENE (2014). Scene. http://3d-scene.eu/. SCENE is cofunded by the European Commission under the Seventh Framework Programme FP7 ICT.
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Paper Citation


in Harvard Style

Chenchu R., Michiels N., Rogmans S. and Bekaert P. (2016). Simplification of Moving 3D Scene Data on GPU . In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 5: SIGMAP, (ICETE 2016) ISBN 978-989-758-196-0, pages 95-98. DOI: 10.5220/0005962000950098


in Bibtex Style

@conference{sigmap16,
author={Rajesh Chenchu and Nick Michiels and Sammy Rogmans and Philippe Bekaert},
title={Simplification of Moving 3D Scene Data on GPU},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 5: SIGMAP, (ICETE 2016)},
year={2016},
pages={95-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005962000950098},
isbn={978-989-758-196-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 5: SIGMAP, (ICETE 2016)
TI - Simplification of Moving 3D Scene Data on GPU
SN - 978-989-758-196-0
AU - Chenchu R.
AU - Michiels N.
AU - Rogmans S.
AU - Bekaert P.
PY - 2016
SP - 95
EP - 98
DO - 10.5220/0005962000950098