Skip to main content
SpringerLink
Log in

Accuracy Evaluation of a Linear Positioning System for Light Field Capture

  • Conference paper
  • First Online:
Intelligent Information and Database Systems (ACIIDS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9012))

Included in the following conference series:

  • 1714 Accesses

Abstract

In this paper a method has been proposed for estimating the positions of a moving camera attached to a linear positioning system (LPS). By comparing the estimated camera positions with the expected positions, which were calculated based on the LPS specifications, the manufacturer specified accuracy of the system, can be verified. Having this data, one can more accurately model the light field sampling process. The overall approach is illustrated on an in-house assembled LPS.

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. Brown, D.C.: Decentering distortion of lenses. Photogrammetric Engineering 32(3), 444–462 (1966)

    Google Scholar 

  2. OpenCV (Open Source Computer Vision Library). www.opencv.org

  3. Bouguet, J.-Y.: Camera Calibration Toolbox for Matlab. www.vision.caltech.edu/bouguetj/calib_doc/

  4. Zhang, Z.: A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)

    Article  Google Scholar 

  5. Marquardt, D.: An Algorithm for Least-Squares Estimation of Nonlinear Parameters. SIAM Journal on Applied Mathematics 11(2), 431–441 (1963)

    Article  MATH  MathSciNet  Google Scholar 

  6. Hawkins, D.M.: On the Investigation of Alternative Regressions by Principal Component Analysis. Journal of the Royal Statistical Society, Series C 22(3), 275–286 (1973)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tampere University of Technology, Tampere, Finland

    Suren Vagharshakyan, Ahmed Durmush, Olli Suominen, Robert Bregovic & Atanas Gotchev

Authors
  1. Suren Vagharshakyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ahmed Durmush
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Olli Suominen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Robert Bregovic
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Atanas Gotchev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Suren Vagharshakyan .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh city, Vietnam

    Ngoc Thanh Nguyen

  2. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

  3. Bina Nusantara University, Jakarta, Indonesia

    Raymond Kosala

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Vagharshakyan, S., Durmush, A., Suominen, O., Bregovic, R., Gotchev, A. (2015). Accuracy Evaluation of a Linear Positioning System for Light Field Capture. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9012. Springer, Cham. https://doi.org/10.1007/978-3-319-15705-4_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-15705-4_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15704-7

  • Online ISBN: 978-3-319-15705-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation