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Título
New procedure for qualification of structured light 3D scanners using an optical feature-based gauge
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Optics and Lasers in Engineering
Cita Bibliográfica
Martínez-Pellitero, S., Cuesta, E., Giganto, S. & Barreiro, J. (2018). New procedure for qualification of structured light 3D scanners using an optical feature-based gauge. Optics and Lasers in Engineering, 110, 193–206. https://doi.org/10.1016/j.optlaseng.2018.06.002
Editorial
ELSEVIER
Fecha
2018-11
ISSN
0143-8166
Resumen
[EN] This work evaluates the performance and operative limits to the dimensional accuracy of 3D optical scanning based on blue-light fringe projection technology. This technology, also known as structured light 3D scanning, is widely used in many reverse engineering applications. It allows the user to quickly capture and create point-clouds, by using images taken at different orientations of white-or blue-light fringe projected patterns on the part. For the survey, a large and feature-based gauge has been used with specific optical properties. The gauge is endowed with canonical geometrical features made of matt white ceramic material. The gauge was calibrated using a coordinate measuring machine (CMM) by contact. Therefore, it is possible to compare the measurements obtained by the structured blue-light sensor with those obtained by the CMM, which are used as reference. In the experimentation, the influence of the scanner software in the measurement results was also analysed. Besides, different tests were carried out for the different fields of view (FOV) of the sensor. The survey offers some practical values and limits to the accuracy obtained in each configuration.
Materia
Palabras clave
Peer review
SI
ID proyecto
- LE027P17
- info:eu-repor/grantAgreement/AEI/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/DPI2017-89840-R/ES/SISTEMATIZACION DE LA FABRICACION PERSONALIZADA DE MOLDES MEDIANTE FABRICACION ADITIVA 3DP Y DE SU INSPECCION CON METROLOGIA OPTICA
- Project FEDER P17-LE027P17
URI
DOI
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