Paper
21 June 2019 Automatic camera calibration and sensor registration of a multi-sensor fringe measurement system using hexapod positioning
Sebastian Metzner, Tino Hausotte
Author Affiliations +
Abstract
For the requirements of newly developed production processes like sheet bulk metal forming a previously developed measuring method exists for dimensional measurement of these manufactured parts. The presented multi-sensor approach allows the combination of several fringe projection sensors with different measurement resolutions and ranges to meet the requirements of the new production technology. The measurement setup includes a high precision hexapod to position the investigated workpiece inside the measuring volume. The measurement devices utilized are high precision fringe projection systems with 17 µm lateral and 1 µm vertical resolution. An additional overview sensor captures the whole measurement range of the hexapod. This paper presents two approaches that can be used for camera calibration and sensor registration of the fringe projection systems in a global coordinate system. A speckle pattern and a random dot pattern are placed on the hexapod to calculate the intrinsic parameters of the sensor camera and extrinsic parameters of the fringe sensor in one single step. To obtain metric lengths with the calibration process, a defined scale is included additionally on the pattern. The calibration process is executed by an automatic and random movement of the hexapod in the recording area of the sensors. Measurements show a direct transferability from the camera to the sensor coordinate system. This allows the measurement datasets to be directly merged together without the use of a separate registration routine.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sebastian Metzner and Tino Hausotte "Automatic camera calibration and sensor registration of a multi-sensor fringe measurement system using hexapod positioning", Proc. SPIE 11056, Optical Measurement Systems for Industrial Inspection XI, 1105616 (21 June 2019); https://doi.org/10.1117/12.2526122
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Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Speckle pattern

Image registration

Optical flow

Feature extraction

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