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CalibrationOne of the most challenging tasks for any vision system is the acquisition of densely measured three-dimensional surfaces. In order to obtain high accuracy, the systems need to be calibrated, i.e. extrinsic and intrinsic parameters have to be determined. We are working on the calibration of different types of sensors, ranging from stereo microscopes over digital cameras to structured light projectors. Example: Calibration of a Structured Light SystemWe have focused on the comparison of different approaches for the calibration and processing of the coded light system in the past, namely:
Z-Stage Calibration
Photogrammetric Calibration
While polygonal calibration methods do not model the physical process of image formation, the photogrammetric calibration methods determine the parameters of a pinhole camera model and the deviation from the ideal model by introducing additional parameters (APs) like radial or decentering lens distortion. Since the physical model turned out to be advantageous, we now focus on the photogrammetric calibration and its further improvement and address aspects like:
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