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http://dbpedia.org/ontology/abstract Chessboards arise frequently in computer vChessboards arise frequently in computer vision theory and practice because their highly structured geometry is well-suited for algorithmic detection and processing. The appearance of chessboards in computer vision can be divided into two main areas: camera calibration and feature extraction. This article provides a unified discussion of the role that chessboards play in the canonical methods from these two areas, including references to the seminal literature, examples, and pointers to software implementations. and pointers to software implementations.
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http://dbpedia.org/property/caption Perspective-transformed chessboard image , 3 , Canny edge detector applied to chessboard image , Multiple views of a chessboard for multiplane calibration , Reconstructed orientations , Output of Harris corner detector , Lines parameterized by Hough transform local maxima , Hough transform of edge image with 19 largest local maxima denoted
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http://dbpedia.org/property/title Example: corner detection , Example: line detection , Example: calibration rig , Example: multiplane calibration
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rdfs:comment Chessboards arise frequently in computer vChessboards arise frequently in computer vision theory and practice because their highly structured geometry is well-suited for algorithmic detection and processing. The appearance of chessboards in computer vision can be divided into two main areas: camera calibration and feature extraction. This article provides a unified discussion of the role that chessboards play in the canonical methods from these two areas, including references to the seminal literature, examples, and pointers to software implementations. and pointers to software implementations.
rdfs:label Chessboard detection
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