Abstract
This chapter describes the image-based 3D reconstruction of the Priscilla catacombs in Rome, as carried out in the European ROVINA project. The 3D reconstruction system was mounted on a small mobile robot, which could autonomously roam the labyrinth of the catacombs’ corridors. The 3D reconstruction system was designed to cope with the specific challenges posed by the narrow passages found there. It consists of multiple cameras and light sources, mounted on spherical arcs. Also the structure-from-motion (SfM) software needed adaptation to optimally cope with the particular circumstances. Firstly, the information coming from the different cameras is handled jointly. Secondly, the feature matching needs to withstand the negative effects of the strongly changing illumination between different robot positions—moreover the environment is mostly dark and humid. Thirdly, for the same reasons, the usual texture mapping techniques would cause strong seams between the textures taken from different robot positions, and these were avoided through a more sophisticated analysis of surface reflectance characteristics. The chapter includes visual examples for parts of the 3D reconstruction.
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References
V.A. Ziparo, G. Castelli, L. Van Gool, G. Grisetti, B. Leibe, M. Proesmans, C. Stachniss, The rovina project. Robots for exploration, digital preservation and visualization of archeological sites, in Proceedings of the 18th ICOMOS General Assembly and Scientific Symposium ‘Heritage and Landscape as Human Values’ (2014)
V.A. Ziparo, M. Zaratti, G. Grisetti, T.M. Bonanni, J. Serafin, M. Di Cicco, M. Proesmans, L. van Gool, O. Vysotska, I. Bogoslavskyi, C. Stachniss, Exploration and mapping of catacombs with mobile robots, in Safety, Security, and Rescue Robotics (SSRR) (2013)
A. Gruen, Digital close-range photogrammetry, in invited paper to G. Togliatti Memorial ‘Modern Trends in Photogrammetry’, XVII. ISPRS Congress, Washington, DC, August 1992
T. Tuytelaars, L. van Gool, Matching widely separated views based on affinely invariant neighbourhoods. Int. J. Comput. Vis. 59(1), 61–85 (2004)
R. Hartley, A. Zisserman, Multiple view geometry in computer vision (Cambridge University Press, New York, 2000)
T. Moons, L. Van Gool, M. Vergauwen, 3D reconstruction from multiple images: Part 1 – principles. Found. Trends Comput. Graph. Vis. 4(4), 287–404 (2009)
M. Pollefeys, R. Koch, L. Van Gool, Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters. Int. J. Comput. Vis. 32(1), 7–25 (1999)
M. Pollefeys, L. Van Gool, M. Vergauwen, F. Verbiest, K. Cornelis, J. Tops, R. Klein, Visual modeling with a hand-held camera. Int. J. Comput. Vis. 59(3), 207–232 (2004)
P. Mueller, T. Vereenooghe, A. Ulmer, L. Van Gool, Automatic reconstruction of Roman housing architecture. Recording, Modeling and Visualization of Cultural Heritage (2005)
M. Vergauwen, L. Van Gool, Web-based 3D Reconstruction Service. Mach. Vis. Appl. 17(6), 411–426 (2006)
Agisoft Photoscan: http://www.agisoft.com/
Microsoft Corporation. Kinect for XBOX 360
P. Vuylsteke, A. Oosterlinck, Single binary-encoded light pattern. IEEE Trans. Pattern Anal. Mach. Intell. 12(2), 148–164 (1990)
M. Proesmans, L. Van Gool, A. Oosterlinck, One-shot active 3D shape acquisition, in IEEE International Conference on pattern Recognition (1996)
P. Cignoni, R. Scopigno, Sampled 3D models for CH applications: a viable and enabling new medium or just a technological exercise? J. Comput. Cult. Herit. 1(1), 1–23 (2008)
H. Bay, A. Ess, T. Tuytelaars, L. Van Gool, Speeded-up Robust features (SURF). Comput. Vis. Image Underst. 110(3), 346–359 (2008)
R. Pless, Using many cameras as one, in Computer Vision and Pattern Recognition (2003)
M.D. Grossberg, S.K. Nayar, A general imaging model and a method for finding its parameters, in International Conference on Computer Vision (2001)
L. Hongdong, R. Hartley, K. Jae-Hak, A linear approach to motion estimation using generalized camera models, in Conference on Computer Vision and Pattern Recognition, (CVPR) (2008)
L. Kneip, H. Li, Efficient computation of relative pose for multi-camera systems, in Conference on Computer Vision and Pattern Recognition (CVPR) (2014)
J. Ventura, C. Arth, V. Lepetit, An efficient minimal solution for multi-camera motion, in International Conference on Computer Vision (ICCV) (2015)
G.H. Lee, F. Faundorfer, M. Pollefeys, Motion estimation for self-driving cars with a generalized camera, in Conference on Computer Vision and Pattern Recognition (CVPR) (2013)
M.A. Fischler, R.C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381–395 (1981)
S. Georgoulis, M. Proesmans, L. Van Gool, Head-on analysis of shape and reflectance, in International Conference on 3D Vision (3DV), Tokyo, 8–11 Dec 2014
S. Georgoulis, V. Vanweddingen, M. Proesmans, L. Van Gool, A gaussian process latent variable model for brdf inference, in International conference on Computer Vision, ICCV (2015)
W. Matusik, H. Pfister, M. Brand, L. McMillan, A data-driven reflectance model, in SIGGRAPH (2003)
F. Romeiro, Y. Vasilyev, T. Zickler, Passive reflectometry, in European Conference on Computer Vision (ECCV) (2008)
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The authors gratefully acknowledge support by the EC FP7 project ROVINA.
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Verbiest, F., Proesmans, M., Van Gool, L. (2017). Autonomous Mapping of the Priscilla Catacombs. In: Ioannides, M., Magnenat-Thalmann, N., Papagiannakis, G. (eds) Mixed Reality and Gamification for Cultural Heritage. Springer, Cham. https://doi.org/10.1007/978-3-319-49607-8_3
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DOI: https://doi.org/10.1007/978-3-319-49607-8_3
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