A variety of methods for camera calibration, relying on different camera models, algorithms and a priori object information, have been reported and reviewed in literature. Use of simple 2D patterns of the chess-board type represents an interesting approach, for which several ‘calibration toolboxes’ are available on the Internet, requiring varying degrees of human interaction. This paper presents an automatic multi-image approach exclusively for camera calibration purposes on the assumption that the imaged pattern consists of adjacent light and dark squares of equal size. Calibration results, also based on image sets from Internet sources, are viewed as satisfactory and comparable to those from other approaches. Questions regarding the role of image configuration need further investigation.

Automatic calibration of digital cameras using planar chess-board patterns

NTOUSKOS, VALSAMIS;
2007-01-01

Abstract

A variety of methods for camera calibration, relying on different camera models, algorithms and a priori object information, have been reported and reviewed in literature. Use of simple 2D patterns of the chess-board type represents an interesting approach, for which several ‘calibration toolboxes’ are available on the Internet, requiring varying degrees of human interaction. This paper presents an automatic multi-image approach exclusively for camera calibration purposes on the assumption that the imaged pattern consists of adjacent light and dark squares of equal size. Calibration results, also based on image sets from Internet sources, are viewed as satisfactory and comparable to those from other approaches. Questions regarding the role of image configuration need further investigation.
2007
3-906467-67-8
camera calibration
pattern extraction
pattern recognition
computer vision
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12606/11919
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