1 September 2006 Robust recognition of checkerboard pattern for camera calibration
Author Affiliations +
Optical Engineering, 45(9), 093201 (2006). doi:10.1117/1.2352738
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.
Chunsheng Yu, Qingjin Peng, "Robust recognition of checkerboard pattern for camera calibration," Optical Engineering 45(9), 093201 (1 September 2006). http://dx.doi.org/10.1117/1.2352738
JOURNAL ARTICLE
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KEYWORDS
Cameras

Calibration

Double patterning technology

Optical engineering

3D image processing

3D modeling

Image processing

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