Skip to main content
SpringerLink
Log in

Camera Calibration Based on the Template Paralleled to Image Plane

  • Conference paper
Emerging Research in Web Information Systems and Mining (WISM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 238))

Included in the following conference series:

  • 892 Accesses

Abstract

It’s an essential problem to look for a simple and effective method for camera calibration in the application of computer vision. A new simple and fast calibration method is proposed in this paper. It needs a calibration block and a plane template.Through the calibration block, the point of intersection which is the projection for the optic axis of CCD on the image plane or called image-plane’s center coordinate is obtained directly. The focal distance is calculated by geometry method, too. Then applying the coplanar-feature point, other parameters of camera system could be calculated. The experimental results show that this method can do calibration for camera’s extrinsic and intrinsic parameters fast and conveniently with a relatively high precision.

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. Ma, S., Zhang, Z.: Computer Vision: Calculation Theory and Algorithm Foundation. Science Press, Beijing (1998) (in Chinese)

    Google Scholar 

  2. Jain, R., Kasturi, R., Schunck, B.G.: Machine Vision. Mechanical Industry Press, Beijing (2003)

    Google Scholar 

  3. Shin, S.S., Hung, Y.P., Lin, W.S.: Accurate Linear Technique For camera Calibration Considering Lens Distortion by Solving an Eigenvalue Problem. Optical Engineer 32, 138–149 (1993)

    Article  Google Scholar 

  4. Tsai, R.Y.: A Versatile Camera Calibration Technique for High-accuracy 3D Machine Vision Metrology Using off-the-shelf TV Cameras and Lenses. IEEE Journal of Robotics and Automation 3(4), 323–344 (1987)

    Article  Google Scholar 

  5. Zhuang, H.Q., Wu, W.C.: Camera Calibration with-a-Near-Parallel (Ill-Conditioned) Calibration Board Configuration. IEEE Transactions on Robotics and Automation 12(6), 918–921 (1996)

    Article  Google Scholar 

  6. Zheng, N.: Computer Vision and Pattern Recognition. National Defense Industry Press, Beijing (1998) (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Machine and Automation, Xi’an University of Technology, Xi’an, 710048, Shaanxi, China

    Enxiu Shi, Yumei Huang, Jiali Yang & Jun Li

Authors
  1. Enxiu Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yumei Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jiali Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Macau, Taipa, Macau, China

    Gong Zhiguo

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. School of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong SAR, China

    Fu Lee Wang

  5. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shi, E., Huang, Y., Yang, J., Li, J. (2011). Camera Calibration Based on the Template Paralleled to Image Plane. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24273-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24272-4

  • Online ISBN: 978-3-642-24273-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation