Skip to main content
SpringerLink
Log in

A Novel Geometry Image Coding

  • Conference paper
Active Media Technology (AMT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5820))

Included in the following conference series:

Abstract

Nowadays computer graphics over the Internet has attracted a lot of attentions; however transmitting 3D model takes a long time. Geometry image is a completely regular structure to remesh an arbitrary surface. It captures the geometry information of the mesh as an array of [x, y, z] values. In this paper, a novel framework of geometry image coding is proposed which utilized the image compression standard JPEG2000 to represent 3D model. To improve the quality of encoding the geometry image, a directional lifting wavelet transform-based image compression algorithm is utilized. Besides, we use an iterative algorithm in the parameterization phase to improve the quality of geometry image. According to the experiments, both objective and subjective performances of 3D model are enhanced, the photorealistic rendering is improved and the time of transmission is reduced.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Gu, X., Gortler, S.J., Hoppe, H.: Geometry images. In: ACM SIGGRAPH 2002, pp. 355–361 (2002)

    Google Scholar 

  2. Yamasaki, T., Aizawa, K.: Fast and Efficient Normal Map Compression. In: IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 9–12 (2006)

    Google Scholar 

  3. Shin, Y., Alexander, B., Hans-Peter, S.: A fast and simple stretch-minimizing mesh parameterization. In: Proceeding Shape Modeling International 2004, pp. 200–208 (2004)

    Google Scholar 

  4. Floater, M.: Parameterization and smooth approximation of surface triangulations. In: CAGD 1997, pp. 231–250 (1997)

    Google Scholar 

  5. Ding, W., Wu, F.: Adaptive Directional Lifting-Based Wavelet Transform for Image Coding. IEEE Transactions on Image Processing 16(2), 16–427 (2007)

    Article  MathSciNet  Google Scholar 

  6. Aspert, N., Santa-Cruz, D., Ebrahimi, T.: Mesh: Measuring Errors between Surfaces using the Hausdorff distance. In: IEEE International Conference in Multimedia and Expo, vol. 1, pp. 705–708 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China

    Yunhui Shi, Wen Wen, Baocai Yin & Jijun Shi

Authors
  1. Yunhui Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wen Wen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Baocai Yin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jijun Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong,  

    Jiming Liu

  2. Department of Energy Systems Engineering Okayama University, 3-1-1 Tsushima-naka, Okayama, Japan

    Jinglong Wu

  3. Department of Computer Science, University of Regina, Regina, S4S 0A2, Saskatchewan, Canada

    Yiyu Yao

  4. Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan

    Toyoaki Nishida

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shi, Y., Wen, W., Yin, B., Shi, J. (2009). A Novel Geometry Image Coding. In: Liu, J., Wu, J., Yao, Y., Nishida, T. (eds) Active Media Technology. AMT 2009. Lecture Notes in Computer Science, vol 5820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04875-3_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04875-3_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04874-6

  • Online ISBN: 978-3-642-04875-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation