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X. Hu, P. Du, and Y. Zhou. "Automatic corner detection of chess board for medical endoscopy camera calibration." Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry. ACM. (2011). S. Malek, et al. "Tracking chessboard corners using projective transformation for augmented reality.
The chessboard on the top of the cabinet was thin enough to allow for a magnetic linkage. Each piece in the chess set had a small, strong magnet attached to its base, and when they were placed on the board the pieces would attract a magnet attached to a string under their specific places on the board.
Board representation in computer chess is a data structure in a chess program representing the position on the chessboard and associated game state. [1] Board representation is fundamental to all aspects of a chess program including move generation, the evaluation function, and making and unmaking moves (i.e. search) as well as maintaining the state of the game during play.
Gonzalo, Torres's son (left), showing the automaton to Norbert Wiener at the 1951 Paris Cybernetic Conference. [1]El Ajedrecista ([el axeðɾeˈθista], English: The Chess Player) is an automaton built in 1912 by Leonardo Torres Quevedo in Madrid, [2] a pioneering autonomous machine capable of playing chess. [3]
A chess playing program provides a graphical chessboard on which one can play a chess game against a computer. Such programs are available for personal computers, video game consoles, smartphones/tablet computers or mainframes/supercomputers. A chess engine generates moves, but is accessed via a command-line interface with no graphics. A ...
A chessboard is a game board used to play chess. It consists of 64 squares, 8 rows by 8 columns, on which the chess pieces are placed. It is square in shape and uses two colours of squares, one light and one dark, in a chequered pattern.
Dota Auto Chess is a strategy video game mod for the video game Dota 2.Developed by Drodo Studio and released in January 2019, the game features teams of automated Dota 2 heroes fighting battles on a chessboard.
Piece-square tables are a set of 64 values corresponding to the squares of the chessboard, and there typically exists a piece-square table for every piece and colour, resulting in 12 piece-square tables and thus 768 inputs into the neural network. In addition, some engines use deep neural networks in their evaluation function.
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