Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces

Autor: Camille Simon Chane, Franck Marzani, Frank Boochs, Rainer Schütze
Přispěvatelé: Institut für Raumbezogene Informations- und Messtechnik (i3mainz), Fachhochschule Mainz/University of Applied Sciences, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut für Raumbezogene Informations- und Messtechnik ( i3mainz ), Fachhochschule Mainz, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Simon, Camille
Jazyk: angličtina
Rok vydání: 2013
Předmět:
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing
Computer science
Multispectral image
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing
02 engineering and technology
close range photogrammetry
Tracking (particle physics)
computer.software_genre
lcsh:Chemical technology
Biochemistry
Article
3D digitization
Analytical Chemistry
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
11. Sustainability
2D-3D registration
0202 electrical engineering
electronic engineering
information engineering

multispectral imaging
Computer vision
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Digitization
[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Multispectral data
Multimedia
business.industry
Frame (networking)
020207 software engineering
cultural heritage
Atomic and Molecular Physics
and Optics

optical calibration
Cultural heritage
Photogrammetry
digitization
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Zdroj: Sensors, Vol 13, Iss 1, Pp 1004-1020 (2013)
Sensors
Sensors, MDPI, 2013, 13, pp.1004-1020
Volume 13
Issue 1
Pages 1004-1020
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Popis: International audience; 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.
Databáze: OpenAIRE