Laser & Optoelectronics Progress, Volume. 56, Issue 8, 081007(2019)

Methods for Location and Recognition of Chess Pieces Based on Convolutional Neural Network

Xie Han*, Rong Zhao**, and Fusheng Sun***
Author Affiliations
  • Department of Data Science and Technology, North University of China, Taiyuan, Shanxi 030051, China
  • show less
    References(19)

    [3] Xu F L. The research of the vision algorithm and intelligent control software for chess robot[D]. Haerbin: Harbin Institute of Technology, 9-13(2006).

    [4] Xiao K X. Research and development of embedded vision system of chess robot[D]. Beijing: North China University of Technology, 15-26(2010).

    [7] Wu G, Tao J. Chinese chess recognition algorithm based on computer vision. [C]∥China Control and Decision-Making Conference, 31 May-2 June 2014, Changsha, China. New York: IEEE, 3375-3379(2014).

    [17] Cao K C, Yang H, Jiang B. Formation tracking control of nonholonomic chained form systems. [C]∥2013 10th IEEE International Conference on Control and Automation (ICCA), 12-14 June 2013, Hangzhou, China. New York: IEEE, 846-851(2013).

    [18] Zhou Y, Dong X W, Lu G. et al. Time-varying formation control for unmanned aerial vehicles with switching interaction topologies. [C]∥2014 International Conference on Unmanned Aircraft Systems (ICUAS), 27-30 May 2014, Orlando, FL, USA. New York: IEEE, 1203-1209(2014).

    Tools

    Get Citation

    Copy Citation Text

    Xie Han, Rong Zhao, Fusheng Sun. Methods for Location and Recognition of Chess Pieces Based on Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081007

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Oct. 17, 2018

    Accepted: Nov. 22, 2018

    Published Online: Jul. 26, 2019

    The Author Email: Xie Han (290949559@qq.com), Rong Zhao (tm_zhaorong@126.com), Fusheng Sun (sfs2699@163.com)

    DOI:10.3788/LOP56.081007

    Topics