Skip to main content

Fast Encoding of Huge 3D Data Sets in Lossless PNG Format

  • Conference paper
Book cover New Research in Multimedia and Internet Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 314))

Abstract

This chapter focuses on manners of filling the gaps in existing standards that are used in tridimensional web technologies. One of the aspects is coding and uploading the 3D huge data sets using alternative formatswith an emphasis on architectural models.We have developed a technique for storing data about 3D geometry saved in PNG file, because of small size and lossless compression.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Hoetzlein, R.C.: Graphics Performance in Rich Internet Applications in Computer Graphics and Applications. IEEE 32, 98–104 (2012)

    Google Scholar 

  2. Ksiazek, M., Pietruszka, M.: Interactive 3D architectural visualization with semantics in web browsers. Journal of Applied Computer Science 20, 59–70 (2012)

    Google Scholar 

  3. Limper, M., Jung, Y., Behr, J., Sturm, T., Franke, T., Schwenk, K., Kuijper, A.: Fast, Progressive Loading of Binary-Encoded Declarative-3D Web Content. IEEE Computer Graphics and Applications 33, 26–36 (2013)

    Article  Google Scholar 

  4. Lowe, N., Datta, A.: A technique for rendering complex portals. IEEE Transactions on IEEE Visualization and Computer Graphics 11, 81–90 (2005)

    Article  Google Scholar 

  5. Ortiz Jr., S.: Is 3D Finally Ready for the Web? IEEE Computer Magazine 43(1), 14–16 (2010)

    Article  Google Scholar 

  6. Heok, T.K., Daman, D.: A review on level of detail. In: Computer Graphics, Imaging and Visualization, CGIV 2004, pp. 70–75 (2004)

    Google Scholar 

  7. Trevett, N.: 3D TransmissionFormat. NVIDIA (June 2013)

    Google Scholar 

  8. Yang, B., Pan, Z.: Hybrid Adaptive Normal Map Texture Compression Algorithm. In: 16th International Conference on Artificial Reality and Telexistence-Workshops, ICAT 2006, pp. 349–354 (2006)

    Google Scholar 

  9. (2014), https://github.com/mrdoob/three.js/blob/master/utils/converters/obj/convert_obj_three.py (April 10, 2014)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel Dworak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Dworak, D., Pietruszka, M. (2015). Fast Encoding of Huge 3D Data Sets in Lossless PNG Format. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) New Research in Multimedia and Internet Systems. Advances in Intelligent Systems and Computing, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-319-10383-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-10383-9_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10382-2

  • Online ISBN: 978-3-319-10383-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics