Chessboard and Chess Piece Recognition With the Support of Neural Networks
Maciej A. Czyzewski, Artur Laskowski, Szymon Wąsik
Abstract
Chessboard and chess piece recognition is a computer vision problem that has not yet been efficiently solved. Digitization of a chess game state from a picture of a chessboard is a task typically performed by humans or with the aid of specialized chessboards and pieces. However, those solutions are neither easy nor convenient. To solve this problem, we propose a novel algorithm for digitizing chessboard configurations.
Topics & Concepts
Computer scienceDigitizationArtificial intelligenceComputer chessComputer visionProcess (computing)Task (project management)Artificial neural networkPattern recognition (psychology)Computer graphics (images)Operating systemEconomicsArchaeologyManagementChampionshipHistoryImage and Object Detection TechniquesRobotics and Sensor-Based LocalizationIndustrial Vision Systems and Defect Detection