Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 155-162, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Nov 2017
AN OPEN SOURCE LOW-COST AUTOMATIC SYSTEM FOR IMAGE-BASED 3D DIGITIZATION
F. Menna1, E. Nocerino1, D. Morabito1, E. M. Farella1, M. Perini2, and F. Remondino1 13D Optical Metrology unit, Bruno Kessler Foundation (FBK)
2Department of Industrial Engineering- University of Trento, Italy
Keywords: photogrammetry, turntable, 3D reconstruction, synchronization, multi camera, structured light Abstract. 3D digitization of heritage artefacts, reverse engineering of industrial components or rapid prototyping-driven design are key topics today. Indeed, millions of archaeological finds all over the world need to be surveyed in 3D either to allow convenient investigations by researchers or because they are inaccessible to visitors and scientists or, unfortunately, because they are seriously endangered by wars and terrorist attacks. On the other hand, in case of industrial and design components there is often the need of deformation analyses or physical replicas starting from reality-based 3D digitisations. The paper is aligned with these needs and presents the realization of the ORION (arduinO Raspberry pI rOtating table for image based 3D recostructioN) prototype system, with its hardware and software components, providing critical insights about its modular design. ORION is an image-based 3D reconstruction system based on automated photogrammetric acquisitions and processing. The system is being developed under a collaborative educational project between FBK Trento, the University of Trento and internship programs with high school in the Trentino province (Italy).
Conference paper (PDF, 1364 KB)


Citation: Menna, F., Nocerino, E., Morabito, D., Farella, E. M., Perini, M., and Remondino, F.: AN OPEN SOURCE LOW-COST AUTOMATIC SYSTEM FOR IMAGE-BASED 3D DIGITIZATION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 155-162, https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017, 2017.

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