Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces
We present a technique for the multi-sensor registration of featureless datasets based on the photogrammetric tracking of the acquisition systems in use. This method is developed for the in situ study of cultural heritage objects and is tested by digitizing a small canvas successively with a 3D digi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2013-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/13/1/1004 |
| _version_ | 1818038215534182400 |
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| author | Frank Boochs Franck S. Marzani Rainer Schütze Camille Simon Chane |
| author_facet | Frank Boochs Franck S. Marzani Rainer Schütze Camille Simon Chane |
| author_sort | Frank Boochs |
| collection | DOAJ |
| description | We present a technique for the multi-sensor registration of featureless datasets based on the photogrammetric tracking of the acquisition systems in use. This method is developed for the in situ study of cultural heritage objects and is tested by digitizing a small canvas successively with a 3D digitization system and a multispectral camera while simultaneously tracking the acquisition systems with four cameras and using a cubic target frame with a side length of 500 mm. The achieved tracking accuracy is better than 0.03 mm spatially and 0.150 mrad angularly. This allows us to seamlessly register the 3D acquisitions and to project the multispectral acquisitions on the 3D model. |
| first_indexed | 2024-12-10T07:39:12Z |
| format | Article |
| id | doaj.art-d969f5a04ea34bd3a3478ed5a33e491b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T07:39:12Z |
| publishDate | 2013-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d969f5a04ea34bd3a3478ed5a33e491b2022-12-22T01:57:21ZengMDPI AGSensors1424-82202013-01-011311004102010.3390/s130101004Registration of 3D and Multispectral Data for the Study of Cultural Heritage SurfacesFrank BoochsFranck S. MarzaniRainer SchützeCamille Simon ChaneWe present a technique for the multi-sensor registration of featureless datasets based on the photogrammetric tracking of the acquisition systems in use. This method is developed for the in situ study of cultural heritage objects and is tested by digitizing a small canvas successively with a 3D digitization system and a multispectral camera while simultaneously tracking the acquisition systems with four cameras and using a cubic target frame with a side length of 500 mm. The achieved tracking accuracy is better than 0.03 mm spatially and 0.150 mrad angularly. This allows us to seamlessly register the 3D acquisitions and to project the multispectral acquisitions on the 3D model.http://www.mdpi.com/1424-8220/13/1/10042D-3D registrationclose range photogrammetryoptical calibration3D digitizationmultispectral imagingcultural heritage |
| spellingShingle | Frank Boochs Franck S. Marzani Rainer Schütze Camille Simon Chane Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces Sensors 2D-3D registration close range photogrammetry optical calibration 3D digitization multispectral imaging cultural heritage |
| title | Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces |
| title_full | Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces |
| title_fullStr | Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces |
| title_full_unstemmed | Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces |
| title_short | Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces |
| title_sort | registration of 3d and multispectral data for the study of cultural heritage surfaces |
| topic | 2D-3D registration close range photogrammetry optical calibration 3D digitization multispectral imaging cultural heritage |
| url | http://www.mdpi.com/1424-8220/13/1/1004 |
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