On Photometric Stereo in the Presence of a Refractive Interface

Yvain Quéau*, Robin Bruneau, Jean Mélou, Jean Denis Durou, François Lauze

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

1 Citation (Scopus)
9 Downloads (Pure)

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 languageEnglish
Title of host publicationScale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings
EditorsLuca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
Number of pages13
PublisherSpringer
Publication date2023
Pages691-703
ISBN (Print)9783031319747
DOIs
Publication statusPublished - 2023
Event9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023 - Santa Margherita di Pula, Italy
Duration: 21 May 202325 May 2023

Conference

Conference9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023
Country/TerritoryItaly
CitySanta Margherita di Pula
Period21/05/202325/05/2023
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14009 LNCS
ISSN0302-9743

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.

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