PlayChessWithAWebCam/Papers

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see also PlayChessWithAWebCam

Papers

Robust Computer Vision Chess Analysis and Interaction with a Humanoid Robot

1

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Chessboard and chess piece recognition with the support of neural networks

2

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Chess Piece Recognition Using Oriented Chamfer Matching with a Comparison to CNN

3

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CV Chess

4

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A New Chessboard Corner Detection Algorithm with Simple Thresholding

5

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Geometry-Based Populated Chessboard Recognition

6

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A Computer Vision System for Chess Game Tracking

7

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ChessVision: Chess Board and Piece Recognition

8

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Magnus the Chess Robot

9

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CVChess: Computer Vision Chess Analytics

10

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Chess State Detection

11 see also https://web.stanford.edu/class/ee368/Project_Spring_1415/index.html

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Zip file of code (321 Lines of MatLab)

Visual Chess Recognition

12

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Chessboard and Pieces Detection for Janggi Chess Playing Robot

13

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Chessboard recognition system using signature, principal component analysis and color information

14

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A Simple Autonomous Chess Playing Robot for playing Chess against any opponent in Real Time

15

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Computer vision system for the chess game reconstruction

16

Fulltext requested via Researchgate on 2019-11-12


Gambit: An autonomous chess-playing robotic system

17

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Probabilistic Location of a Populated Chessboard Using Computer Vision

18

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Automatic Grid Segmentation of Populated Chessboard Taken at a Lower Angle View

19


Simple Computer Vision System for Chess Playing Robot Manipulator as a Project-based Learning Example

20

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Chess Vision - Real-time tracking of board configuration and chess moves

21

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MarineBlue: A Low-cost Chess Robot

22

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Autonomous Chess-playing Robot

23

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References

Citation Cross-Reference

The following (incomplete) graph shows some of the cross references between the above papers. Clicking on a node will lead you to the paper's details

References

  1. ^  Andrew Tzer-Yeu Chen, Kevin I-Kai Wang. (2019) "Robust Computer Vision Chess Analysis and Interaction with a Humanoid Robot" Computers 2019,8,14 - 16 pages. doi: 10.3390/computers8010014
  2. ^  Maciej A. Czyzewski, Artur Laskowski, Szymon Wasik. (2018) "Chessboard and chess piece recognition with the support of neural networks" Computer Vision and Image Understanding - 11 pages. arxiv: 1708.03898v2
  3. ^  Youye Xie, Gongguo Tang, William A Hoff. (2018) "Chess Piece Recognition Using Oriented Chamfer Matching with a Comparison to CNN" IEEE Winter Conference on Applications of Computer Vision (WACV)At: Lake Tahoe, Nevada - 9 pages. doi: 10.1109/WACV.2018.00221
  4. ^  Robert Goodloe, Nhut Dang. (2018) "CV Chess" ese 205 Washington University in St. Louis Fall 2018 . url: https://classes.engineering.wustl.edu/ese205/core/index.php?title=CV_Chess
  5. ^  Zhang Qi, Caihua Xiong. (2017) "A New Chessboard Corner Detection Algorithm with Simple Thresholding" International Conference on Intelligent Robotics and Applications - 12 pages. doi: 10.1007/978-3-319-65292-4_46
  6. ^  Youye Xie, Gongguo Tang, William A Hoff. (2017) "Geometry-Based Populated Chessboard Recognition" PROCEEDINGS VOLUME 10696 Tenth International Conference on Machine Vision (ICMV 2017 13-15 November 2017) . doi: 10.1117/12.2310081
  7. ^  Can Kory, Emre Sümer. (2016) "A Computer Vision System for Chess Game Tracking" 21stComputer Vision Winter WorkshopLukaˇCehovin, Rok Mandeljc, VitomirˇStruc (eds.)Rimske Toplice, Slovenia, February 3–5, 2016 . url: https://vision.fe.uni-lj.si/cvww2016/proceedings/papers/21.pdf
  8. ^  Jialin Ding. (2016) "ChessVision: Chess Board and Piece Recognition" Standford University CS 231a 2016 Final Report . url: https://web.stanford.edu/class/cs231a/prev_projects_2016/CS_231A_Final_Report.pdf
  9. ^  Tobias Helstad Unger. (2014) "Magnus the Chess Robot" Norwegian University of Science and Technology, Department of Engineering Cybernetics, Master Thesis 2014-07 - 111 pages. url: https://pdfs.semanticscholar.org/1da7/c5c137d5822d4eba5a93b0e2d8d497b822bd.pdf
  10. ^  Jay Hack, Prithvi Ramakrishnan. (2014) "CVChess: Computer Vision Chess Analytics" in=Standford University CS 231a Winter 2014/2015 Final Report . url: http://cvgl.stanford.edu/teaching/cs231a_winter1415/prev/projects/chess.pdf
  11. ^  Bhavani B S. (2014) "Chess State Detection" Standford University ee368/cs232 Digital Image Processing Spring 2014/2015 . url: https://web.stanford.edu/class/ee368/Project_Spring_1415/Reports/Bhavani.pdf
  12. ^  Cheryl Danner, Mai Kafafy. (2014) "Visual Chess Recognition" Standford University ee368/cs232 Digital Image Processing Spring 2014/2015 . url: http://web.stanford.edu/class/ee368/Project_Spring_1415/Reports/Danner_Kafafy.pdf
  13. ^  Vo Quang Nhat, GueeSang Lee. (2013) "Chessboard and Pieces Detection for Janggi Chess Playing Robot" Korea Science 2013 . doi: 10.5392/IJoC.2013.9.4.016
  14. ^  Ismail M. Khater, Ahmed Salah Ghorab, Inad A. Aljarrah. (2012) "Chessboard recognition system using signature, principal component analysis and color information" Second International Conference on Digital Information Processing and Communications (ICDIPC) 2012 - 5 pages. doi: 10.1109/icdipc.2012.6257285
  15. ^  Nandan Banerjee, Debal Saha, Atikant Singh, Gautam Sanyal. (2012) "A Simple Autonomous Chess Playing Robot for playing Chess against any opponent in Real Time" International Conference on Computational Vision and Robotics 2012 At: Bhubaneshwar, India . url: http://nandanbanerjee.com/files/ICCVR-08AUG12-011%20paper.pdf
  16. ^  M. Piškorec, N. Antulov-Fantulin,J. Ćurić,O. Dragoljević,V. Ivanac,L. Karlović. (2011) "Computer vision system for the chess game reconstruction" 2011 Proceedings of the 34th International Convention MIPRO . url: https://www.researchgate.net/publication/221412941_Computer_vision_system_for_the_chess_game_reconstruction
  17. ^  Cynthia Matuszek, Brian Mayton, Roberto Aimi. (2011) "Gambit: An autonomous chess-playing robotic system" IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 9-13 May 2011 . doi: 10.1109/ICRA.2011.5980528
  18. ^  Jason E. Neufeld and Tyson S. Hall. (2010) "Probabilistic Location of a Populated Chessboard Using Computer Vision" 53rd IEEE International Midwest Symposium on Circuits and Systems . doi: 10.1109/MWSCAS.2010.5548901
  19. ^  K. Y. Tam, Jose A. Lay, David C Levy. (2008) "Automatic Grid Segmentation of Populated Chessboard Taken at a Lower Angle View" Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, DICTA 2008, Canberra, ACT, Australia, 1-3 December 2008 . doi: 10.1109/DICTA.2008.40
  20. ^  Emir Sokic, Melita Ahic-Djokic. (2008) "Simple Computer Vision System for Chess Playing Robot Manipulator as aProject-based Learning Example" Signal Processing and Information Technology, 2008. ISSPIT 2008. Signal Processingand Information Technology (ISSPIT), Sarajevo, Bosnia and Herzegovina, 16–19 December 2008; pp. 75–79. - 5 pages. doi: 10.1109/ISSPIT.2008.4775676url: http://people.etf.unsa.ba/~esokic/mypapers/2008ISSPIT.pdf
  21. ^  Chua Huiyan, Le Vinh, Wong Lai Kuan. (2007) "Chess Vision - Real-time tracking of board configuration and chess moves" CS4243 Computer Vision & Pattern Recognition, National University of Signapore, 2007 . url: https://www.comp.nus.edu.sg/~cs4243/showcase/chess_vision/chess_vision.html
  22. ^  David Urting, Yolande Berbers. (2003) "MarineBlue: A Low-cost Chess Robot" IASTED International Conference Robotics and Applications, RA 2003, June 25-27, 2003, Salzburg, Austria . url: https://www.researchgate.net/publication/220785821_MarineBlue_A_Low-cost_Chess_Robot
  23. ^  Timothée Cour, Rémy Lauranson, Matthieu Vachette. (2002) "Autonomous Chess-playing Robot" Ecole Polytechnique . url: https://pdfs.semanticscholar.org/57e7/9b85d53597d59a1009ea964876de260935ea.pdf