Chinese Chess State Recognition
نویسندگان
چکیده
In this paper, we present an algorithm that can correctly recognize the state of a Chinese chess game by processing a photo of the chessboard. Some major steps of the algorithm include chessboard rectification using Hough transformation and homographic transformation, chess piece detection using circular Hough transformation and chess piece recognition using SIFT (Scale-Invariant Feature Transform) descriptors [1], RANSAC (RANdom SAmple Consensus) matching [2] and color classification. The method is robust against inclination, rotation, scaling and non-uniformed lighting within certain ranges.
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