PDF] ChessVision : Chess Board and Piece Recognition

The method presented in this paper improves upon the segmentation-based approaches of previous work in piece recognition by introducing a novel approach using classifiers trained on feature descriptors, which is more robust to the similarities in color seen in real-life chess boards. This paper details a method to take an image of a chess board and output a reconstructed computer representation of the board through board and piece recognition. Though techniques for board recognition have been thoroughly explored in the past, especially in relation to chessboard calibration, previous works on piece recognition often focus on non-robust segmentation procedures that rely heavily on the exact color of customized chess boards and pieces. The method presented in this paper improves upon the segmentation-based approaches of previous work in piece recognition by introducing a novel approach using classifiers trained on feature descriptors, which is more robust to the similarities in color seen in real-life chess boards. This work is important for both automating the recording of moves in human chess games and improving the ability of chess-playing AI that depend on vision.

PDF] A Computer Vision System for Chess Game Tracking

u/chessvision-ai-bot is on a roll: now it can predict whose turn it is from the highlighted squares on the board. A very famous position, this title doesn't hint whose turn is it

PlayChessWithAWebCam/Papers - BITPlan Wiki

PlayChessWithAWebCam/Papers - BITPlan Wiki

The Seven Deadly Sins in Chess — Jonathan Rowson

J. Imaging, Free Full-Text

PDF) Chess piece movement detection and tracking, a vision system framework for autonomous chess playing robot

Board Game Image Recognition using Neural Networks, by Andrew Underwood

How to get better at chess tactics –

PDF) LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs

Convert a physical chessboard into a digital one

Represent Chess Boards Digitally with Computer Vision