Abstract
We conduct a discussion on the problem of 3D-reconstruction by calibrated photometric stereo, when the surface of interest is embedded in a refractive medium. We explore the changes refraction induces on the problem geometry (surface and normal parameterization), and we put forward a complete image formation model accounting for refracted lighting directions, change of light density and Fresnel coefficients. We further show that as long as the camera is orthographic, lighting is directional and the interface is planar, it is easy to adapt classic methods to take into account the geometric and photometric changes induced by refraction. Moreover, we show on both simulated and real-world experiments that incorporating these modifications of PS methods drastically improves the accuracy of the 3D-reconstruction.
Original language | English |
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Title of host publication | Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings |
Editors | Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria |
Number of pages | 13 |
Publisher | Springer |
Publication date | 2023 |
Pages | 691-703 |
ISBN (Print) | 9783031319747 |
DOIs | |
Publication status | Published - 2023 |
Event | 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023 - Santa Margherita di Pula, Italy Duration: 21 May 2023 → 25 May 2023 |
Conference
Conference | 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023 |
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Country/Territory | Italy |
City | Santa Margherita di Pula |
Period | 21/05/2023 → 25/05/2023 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14009 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Funding Information:Acknowledgements. This project was partially supported by the KU Data+ Project Phylorama, the ALICIA-Vision LabCom (ANR-19-LCV1-0002), and the Inclusive Museum Guide project (ANR-20-CE38-0007).
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.