Details
| Original language | English |
|---|---|
| Title of host publication | Optics and Photonics for Advanced Dimensional Metrology |
| Editors | Peter J. de Groot, Richard K. Leach, Pascal Picart |
| Number of pages | 8 |
| ISBN (electronic) | 9781510634763 |
| Publication status | Published - 1 Apr 2020 |
| Event | Optics and Photonics for Advanced Dimensional Metrology - Online Only, France Duration: 6 Apr 2020 → 10 Apr 2020 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 11352 |
| ISSN (Print) | 0277-786X |
| ISSN (electronic) | 1996-756X |
Abstract
When repairing worn components it is crucial to have detailed knowledge of the current object’s state. For this purpose a multi-sensor system was developed to measure objects in different scales and modalities. This work focuses on the 3-D measurement of worn turbine blades using a fringe projection system. The 3-D geometry of turbine blades is crucial for the overall performance and safety of an engine. Therefore it is not sufficient to rely on single fringe projection measurements for a functional evaluation. To obtain a 3-D model the blade has to be measured from multiple directions. Gathered data are combined to form the model. This process is called registration or stitching. To reduce uncertainties during the process markers can be applied on or near the measurement object. However, common methods using markers are insufficient in automatability and feature density and therefore are not applicable in this case. In this work a novel registration strategy based on projected random patterns is developed. Multiple projectors are placed around the object to illuminate its geometry. Keypoints are identified by capturing additional grayscale images and applying state-of-the art feature detection algorithms. Feature matching is performed on consecutive measurements. Matches are preprocessed and a random sample consensus approach is chosen to calculate the rigid body transformation. Multiple measurements of the turbine blade and other geometries have been successfully aligned using the proposed strategy. Beyond that the high density of features allows the alignment of measurements with different scales and resolutions.
Keywords
- 3-D registration, Data stitching, Free-from surfaces, Industrial imaging
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
- Computer Science(all)
- Computer Science Applications
Cite this
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- Apa
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- BibTeX
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Optics and Photonics for Advanced Dimensional Metrology. ed. / Peter J. de Groot; Richard K. Leach; Pascal Picart. 2020. 113520C (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11352).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - 3D registration of multiple surface measurements using projected random patterns
AU - Betker, Tim
AU - Quentin, Lorenz
AU - Kästner, Markus
AU - Reithmeier, Eduard
N1 - Funding Information: The authors thank the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for funding the project - SFB 871/3 - 119193472 “Regeneration of complex capital goods”, subproject A2.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - When repairing worn components it is crucial to have detailed knowledge of the current object’s state. For this purpose a multi-sensor system was developed to measure objects in different scales and modalities. This work focuses on the 3-D measurement of worn turbine blades using a fringe projection system. The 3-D geometry of turbine blades is crucial for the overall performance and safety of an engine. Therefore it is not sufficient to rely on single fringe projection measurements for a functional evaluation. To obtain a 3-D model the blade has to be measured from multiple directions. Gathered data are combined to form the model. This process is called registration or stitching. To reduce uncertainties during the process markers can be applied on or near the measurement object. However, common methods using markers are insufficient in automatability and feature density and therefore are not applicable in this case. In this work a novel registration strategy based on projected random patterns is developed. Multiple projectors are placed around the object to illuminate its geometry. Keypoints are identified by capturing additional grayscale images and applying state-of-the art feature detection algorithms. Feature matching is performed on consecutive measurements. Matches are preprocessed and a random sample consensus approach is chosen to calculate the rigid body transformation. Multiple measurements of the turbine blade and other geometries have been successfully aligned using the proposed strategy. Beyond that the high density of features allows the alignment of measurements with different scales and resolutions.
AB - When repairing worn components it is crucial to have detailed knowledge of the current object’s state. For this purpose a multi-sensor system was developed to measure objects in different scales and modalities. This work focuses on the 3-D measurement of worn turbine blades using a fringe projection system. The 3-D geometry of turbine blades is crucial for the overall performance and safety of an engine. Therefore it is not sufficient to rely on single fringe projection measurements for a functional evaluation. To obtain a 3-D model the blade has to be measured from multiple directions. Gathered data are combined to form the model. This process is called registration or stitching. To reduce uncertainties during the process markers can be applied on or near the measurement object. However, common methods using markers are insufficient in automatability and feature density and therefore are not applicable in this case. In this work a novel registration strategy based on projected random patterns is developed. Multiple projectors are placed around the object to illuminate its geometry. Keypoints are identified by capturing additional grayscale images and applying state-of-the art feature detection algorithms. Feature matching is performed on consecutive measurements. Matches are preprocessed and a random sample consensus approach is chosen to calculate the rigid body transformation. Multiple measurements of the turbine blade and other geometries have been successfully aligned using the proposed strategy. Beyond that the high density of features allows the alignment of measurements with different scales and resolutions.
KW - 3-D registration
KW - Data stitching
KW - Free-from surfaces
KW - Industrial imaging
UR - http://www.scopus.com/inward/record.url?scp=85120935302&partnerID=8YFLogxK
U2 - 10.1117/12.2556061
DO - 10.1117/12.2556061
M3 - Conference contribution
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics and Photonics for Advanced Dimensional Metrology
A2 - de Groot, Peter J.
A2 - Leach, Richard K.
A2 - Picart, Pascal
T2 - Optics and Photonics for Advanced Dimensional Metrology
Y2 - 6 April 2020 through 10 April 2020
ER -