Paper
3 May 2004 A calibration method using only one plane for 3D machine vision
Author Affiliations +
Proceedings Volume 5303, Machine Vision Applications in Industrial Inspection XII; (2004) https://doi.org/10.1117/12.525264
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
Camera calibration is an important step in machine vision for dimensional measurement. Based on analyzing the photogrammetric calibration and self-calibration methods, a new planar way is proposed in this paper for calibrating the camera for the 2D objects. Induced some non-linear distortion factors, a fast algorithm is adopted to solve the complicated non-linear equations in calibration model. With this algorithm, a concatenation technique is used to reconstruct a 3D object from two 2D planar photos. In the second part of this paper, a calibration method using only one plane, which can be moved on some simple equipment, is deduced for 3D object dimensional measurement. Mathematic model and its transformation process are discussed in detail. This method can be used especially for profile inspection of machine parts in industrial working-field. An application to inspect the profile of train wheel is given in this paper. Experimental results are given to show the parameters of camera system and the measuring accuracy.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shanxi Deng, Yongyue Yang, and Xunsi Wang "A calibration method using only one plane for 3D machine vision", Proc. SPIE 5303, Machine Vision Applications in Industrial Inspection XII, (3 May 2004); https://doi.org/10.1117/12.525264
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CITATIONS
Cited by 3 scholarly publications and 2 patents.
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KEYWORDS
Calibration

Cameras

Imaging systems

3D metrology

Distortion

Machine vision

3D modeling

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