Skip to main content
SpringerLink
Log in

Visual Perception and Analysis as First Steps Toward Human–Robot Chess Playing

  • Conference paper
  • First Online:
Advances in Visual Computing (ISVC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9475))

Included in the following conference series:

Abstract

We propose in this paper a novel visual computing approach for the automatic perception of chess gaming states, where a standard chessboard with original chess pieces is used. Our image analysis algorithm uses only grayscale images captured from a single mobile camera for interactive gaming under natural environmental conditions. On the one hand, we apply computer vision techniques to detect and localize the grid corners, obtaining a 2D representation of the \(8 \times 8\) chess grid based on the grayscale information of the input image. On the other hand, we exploit computer graphics techniques for the 3D modeling and rendering of the pieces together with the chessboard. Using 2D–3D correspondences, we are able to recover the 3D camera poses and determine game state transitions during the gaming process. Experimental study based on both simulated and real–world scenarios demonstrates the feasibility and effectiveness of our approach.

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 EPUB and 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

References

  1. Tong, G., Qu, Y., Cheng, T.: Human-computer interactive gaming system-a chinese chess robot. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS 2009, pp. 984–987. IEEE (2009)

    Google Scholar 

  2. Gracie, S., et al.: Lego chess robot, project report (2005)

    Google Scholar 

  3. Tam, K.Y., Lay, J.A., Levy, D.: Automatic grid segmentation of populated chessboard taken at a lower angle view. In: Digital Image Computing: Techniques and Applications (DICTA), 2008, pp. 294–299. IEEE (2008)

    Google Scholar 

  4. Neufeld, J.E., Hall, T.S.: Probabilistic location of a populated chessboard using computer vision. In: 2010 53rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 616–619. IEEE (2010)

    Google Scholar 

  5. Coens, J.A.: Taking Tekkotsu out of the plane. Ph.D. thesis, Carnegie Mellon University (2010)

    Google Scholar 

  6. Wang, V., Green, R.: Chess move tracking using overhead rgb webcam. In: 2013 28th International Conference of Image and Vision Computing New Zealand (IVCNZ), pp. 299–304. IEEE (2013)

    Google Scholar 

  7. Matuszek, C., Mayton, B., Aimi, R., Deisenroth, M.P., Bo, L., Chu, R., Kung, M., LeGrand, L., Smith, J.R., Fox, D.: Gambit: An autonomous chess-playing robotic system. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 4291–4297. IEEE (2011)

    Google Scholar 

  8. Hartley, R., Zisserman, A.: Multiple view geometry in computer vision. Cambridge University Press, Canberra (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Information, Media and Electrical Engineering, Technische Hochschule Köln – University of Applied Sciences, Betzdorferstr. 2, 50679, Cologne, Germany

    Andreas Schwenk & Chunrong Yuan

Authors
  1. Andreas Schwenk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chunrong Yuan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andreas Schwenk .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Schwenk, A., Yuan, C. (2015). Visual Perception and Analysis as First Steps Toward Human–Robot Chess Playing. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9475. Springer, Cham. https://doi.org/10.1007/978-3-319-27863-6_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27863-6_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27862-9

  • Online ISBN: 978-3-319-27863-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation