Skip to main content
SpringerLink
Log in

An Analysis of Impostor Based Level of Detail Approximations for LIDAR Data

  • Conference paper
Advances in Visual Computing (ISVC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6939))

Included in the following conference series:

Abstract

LIDAR (Light Detection and Ranging) [1] is a remote sensing technology that is growing in popularity in varied and diverse disciplines. Modern LIDAR systems can produce substantial amounts of data in very brief amounts of time, so one of the greatest challenges facing researchers is processing and visualizing all of this information, particularly in real time. Ideally, a scientific visualization of a set of LIDAR data should provide an accurate view of all the available information; however, sometimes it is beneficial to exchange a small portion of that accuracy for the increased usability and flexibility of a real-time interactive display. The goal of this research is to characterize under what conditions the level-of-detail rendering technique known as impostors [2–4] can effectively optimize the inherent trade-offs between accuracy and interactivity in large-scale point cloud datasets.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Campbell, J., de Haag, M., van Graas, F., Young, S.: Light detection and ranging-based terrain navigation-a concept exploration. In: Proceedings from the, Citeseer (2003)

    Google Scholar 

  2. Schaufler, G.: Dynamically generated impostors. In: Proc. GI Workshop on Modeling, Virtual Worlds, and Distributed Graphics, pp. 129–136 (1995)

    Google Scholar 

  3. Shade, J., Lischinski, D., Salesin, D.H., DeRose, T., Snyder, J.: Hierarchical image caching for accelerated walkthroughs of complex environments. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1996, pp. 75–82. ACM, New York (1996)

    Chapter  Google Scholar 

  4. Maciel, P., Shirley, P.: Visual navigation of large environments using textured clusters. In: Proceedings of the 1995 Symposium on Interactive 3D Graphics, pp. 95–102. ACM, New York (1995)

    Chapter  Google Scholar 

  5. Bowen, Z., Waltermire, R.: Evaluation Of Light Detection And Ranging (LIDAR) For Measuring River Corridor Topography1. JAWRA Journal of the American Water Resources Association 38, 33–41 (2002)

    Article  Google Scholar 

  6. Hasager, C., Peña, A., Mikkelsen, T., Courtney, M., Antoniou, I., Gryning, S., Hansen, P., Sørensen, P.: 12MW Horns Rev experiment. Technical report, Risø National Laboratory (2007)

    Google Scholar 

  7. Hewett, J.: Optics.org. (2008), http://optics.org/article/34878

  8. McKinion, J., Willers, J., Jenkins, J.: Spatial analyses to evaluate multi-crop yield stability for a field. Computers and Electronics in Agriculture 70, 187–198 (2010)

    Article  Google Scholar 

  9. Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., et al.: Stanley: The robot that won the DARPA Grand Challenge. The 2005 DARPA Grand Challenge, 1–43 (2007)

    Google Scholar 

  10. Lawlor, O.: Impostors For Parallel Interactive Computer Graphics. PhD thesis, University of Illinois (2005)

    Google Scholar 

  11. Risser, E.: True imposters. In: ACM SIGGRAPH 2006 Research Posters. SIGGRAPH 2006. ACM, New York (2006)

    Google Scholar 

  12. Kaneko, T., Takahei, T., Inami, M., Kawakami, N., Yanagida, Y., Maeda, T., Tachi, S.: Detailed shape representation with parallax mapping. In: Proceedings of ICAT, Citeseer, pp. 205–208 (2001)

    Google Scholar 

  13. Tatarchuk, N.: Dynamic parallax occlusion mapping with approximate soft shadows. In: Proceedings of the 2006 Symposium on Interactive 3D Graphics and Games, pp. 63–69. ACM, New York (2006)

    Chapter  Google Scholar 

  14. Recommendation ITU-R BT.601-7. Technical report, International Telecommunication Union (2011)

    Google Scholar 

  15. Haar, A.: Zur theorie der orthogonalen funktionensysteme. Mathematische Annalen 69, 331–371 (1910)

    Article  MathSciNet  MATH  Google Scholar 

  16. Lai, Y., Kuo, C.: A haar wavelet approach to compressed image quality measurement. Journal of Visual Communication and Image Representation 11, 17–40 (2000)

    Article  Google Scholar 

  17. Shreiner, D., Woo, M., Neider, J., Davis, T.: OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 2.1., 6th edn. Addison-Wesley Publishing Co., Inc., Boston (2008)

    Google Scholar 

  18. Funkhouser, T.: Adaptive display algorithm for interactive frame rates during visualization of complex virtual environments. In: Computer Graphics (Proc. SIGGRAPH 1993), pp. 247–254 (1993)

    Google Scholar 

  19. Tom McReynolds, D.B.: Advanced Graphics Programming Using OpenGL, 1st edn., pp. 257–261. Mogran Kaufmann Publishers, San Francisco (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, Ohio University, Stocker Center, Athens, Ohio, USA, 45701

    Chad Mourning, Scott Nykl & David Chelberg

Authors
  1. Chad Mourning
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Scott Nykl
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. David Chelberg
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. 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, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science and Engineering, University of South Carolina, 29208, Columbia, SC, USA

    Song Wang

  6. HRL Laboratories, 3011 Malibu Canyon Road, 90265-4797, Malibu, CA, USA

    Kim Kyungnam

  7. Purdue University, West Lafayette, 47907-2021, IN, USA

    Bedrich Benes

  8. Sandia National Laboratory, 87185, Albuquerque, NM, USA

    Kenneth Moreland

  9. University of Louisiana at Lafayette, 70504, LA, USA

    Christoph Borst

  10. Adobe Systems Incorporated, San Francisco, CA, USA

    Stephen DiVerdi

  11. Polytechnic Institute of NYU, 11201, Brooklyn, NY, USA

    Chiang Yi-Jen

  12. Lawrence Livermore National Laboratory, 94551-0808, Livermore, CA, USA

    Jiang Ming

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mourning, C., Nykl, S., Chelberg, D. (2011). An Analysis of Impostor Based Level of Detail Approximations for LIDAR Data. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24031-7_64

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24031-7_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24030-0

  • Online ISBN: 978-3-642-24031-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation