Skip to main content

OpenGL Simulation System for ICF Target-Positioning

  • Conference paper
AsiaSim 2012 (AsiaSim 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 325))

Included in the following conference series:

  • 1506 Accesses

Abstract

In ICF (Inertia confinement fusion) physical experiments, target-positioning accuracy is so important that directly affects the success rate of target hitting. This paper presents an ICF installation simulation system for target positioning by visual detection, which is conducted by “OpenGL” graphics software under “C++ Builder 6.0” programming environment. In order to realize the target pose measurement and obtain the target’s 3D pose measurement value, it includes the pose detection algorithm and image processing algorithm. The experiment and data analysis result has confirmed that our system can successfully accomplish posture detection and target positioning.

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 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. Dai, Y.P., Huang, G.L., Li, X.C.: Precision Target Positioning by Digital Speckle Correlation Measurement. Chinese Journal of Lasers 2, 136–139 (2000)

    Google Scholar 

  2. Zhang, Z.X., Su, G.Z., Zheng, S.Y., Zhang, J.Q.: Relating OpenGL Imaging Process with Exterior and Interior Parameters of Photogrammetry. Journal of Wuhan University 7, 570–574 (2004)

    Google Scholar 

  3. Yang, B.L., Chen, G.L., Xu, J.: Essential OpenGL Programming. China Machine Press, Beijing (2010)

    Google Scholar 

  4. Li, F.Q., Yuan, X.D., Liu, C.X.: Target Recognition Technique in ICF Experiment. Opto-Electronic Engineering 5, 14–16 (2004)

    Google Scholar 

  5. Xiong, Y.L.: Fundamentals of Robot Techniques. Huazhong University of Science and Technology Press, China (1996)

    Google Scholar 

  6. Hajdu, A., Pitas, I.: Optimal Approach for Fast Object-template Matching. IEEE Transactions on Image Processing 8, 2048–2057 (2007)

    Article  MathSciNet  Google Scholar 

  7. Sussman, M.S., Wright, G.A.: Factors Affecting The Correlation Coefficient Template Matching Algorithm With Application to Real-time 2-D Coronary Artery MR Imaging. IEEE Transactions on Medical Imaging 2, 206–216 (2003)

    Article  Google Scholar 

  8. Zhang, Y.N., Chen, X., Song, W., Shen, L.Y.: Visual Measurement of Micro-target Pose in ICF Experiment. Opto-Electronic Engineering 5, 18–24 (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, X., Song, W., Zhang, Y., Liu, X. (2012). OpenGL Simulation System for ICF Target-Positioning. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34387-2_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34387-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34386-5

  • Online ISBN: 978-3-642-34387-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics