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3 May 2004 Camera calibration, data segmentation, and fitting approaches for a visual edge inspection system
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Proceedings Volume 5303, Machine Vision Applications in Industrial Inspection XII; (2004) https://doi.org/10.1117/12.525013
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
The design of edges is very important for many components. In this paper we therefore present a light-sectioning based measurement head, which is suitable for the edge inspection of different workpieces. Beyond the design we also present a new calibration technique for its camera. The calibration is mainly based on several perspective projections, which are successively executed. In each step, the linear system of homogeneous equations is solved by using singular value decomposition. Each mapping is therefore obtained in the least squares sense. Because of the novel design of the calibration device, a high number of reference points can be used for the description of these mappings. The inspection of a workpiece detail implicates a large amount of data, some of which is useless. To extract the data essential for the fitting routines, a special correlation/regression based template matching is proposed. After the description of the segmentation process we propose a measurement progression, which enables us to obtain a fast and easy perspective correction of the three-dimensional light sectioning data. Finally, a fitting method is presented. Based on singular value decomposition, the data is fitted to the corresponding form of the fillet or chamfer. As the fit is done in the least squares sense, one can obtain statistical information out of the decomposition process.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark Tratnig, Paul O'Leary, Helmut Hlobil, and Johann Reisinger "Camera calibration, data segmentation, and fitting approaches for a visual edge inspection system", Proc. SPIE 5303, Machine Vision Applications in Industrial Inspection XII, (3 May 2004); https://doi.org/10.1117/12.525013
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