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Sensors 2010, 10(3), 2027-2044; doi:10.3390/s100302027

Automatic Chessboard Detection for Intrinsic and Extrinsic Camera Parameter Calibration

Grupo de Sistemas Inteligentes, Universidad Carlos III de Madrid, Avda de la Universidad 30, 28911, Leganés, Madrid, Spain
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Received: 6 January 2010 / Revised: 29 January 2010 / Accepted: 2 February 2010 / Published: 15 March 2010

Abstract

There are increasing applications that require precise calibration of cameras to perform accurate measurements on objects located within images, and an automatic algorithm would reduce this time consuming calibration procedure. The method proposed in this article uses a pattern similar to that of a chess board, which is found automatically in each image, when no information regarding the number of rows or columns is supplied to aid its detection. This is carried out by means of a combined analysis of two Hough transforms, image corners and invariant properties of the perspective transformation. Comparative analysis with more commonly used algorithms demonstrate the viability of the algorithm proposed, as a valuable tool for camera calibration. View Full-Text
Keywords: camera calibration; chessboard detection; pattern recognition; double Hough transform camera calibration; chessboard detection; pattern recognition; double Hough transform
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

De la Escalera, A.; Armingol, J.M. Automatic Chessboard Detection for Intrinsic and Extrinsic Camera Parameter Calibration. Sensors 2010, 10, 2027-2044.

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