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Optical Engineering

Robust recognition of checkerboard pattern for camera calibration
Author(s): Chunsheng Yu; Qingjin Peng
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Paper Abstract

Camera calibration is an important procedure for the image-based three-dimensional (3D) shape reconstruction of existing objects. Methods that use different mathematics for the computation of the camera calibration have been reported in the literature. But a reliable detection of calibration patterns is not considered in these methods, which prevents their practical use. A robust recognition method for the detection of a checkerboard pattern for camera calibration is proposed. After introduction of the principle of this method, experiments are used to check the method on a wide range of real data. The results show that the method is robust over a range of illumination and a complicated background. The proposed method can be used for automatic camera calibration in real-world environments.

Paper Details

Date Published: 1 September 2006
PDF: 9 pages
Opt. Eng. 45(9) 093201 doi: 10.1117/1.2352738
Published in: Optical Engineering Volume 45, Issue 9
Show Author Affiliations
Chunsheng Yu, Univ. of Manitoba (Canada)
Qingjin Peng, Univ. of Manitoba (Canada)

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