Abstract
We tackle the problem of perspective 3D-reconstruction of Lambertian surfaces through photometric
stereo, in the presence of outliers to Lambert's law, depth discontinuities, and unknown spatially-varying lightings. To this purpose, we introduce a robust $L^1$-TV variational formulation of the recovery problem where the shape itself is the main unknown, which naturally enforces integrability and permits to avoid integrating the normal field.
stereo, in the presence of outliers to Lambert's law, depth discontinuities, and unknown spatially-varying lightings. To this purpose, we introduce a robust $L^1$-TV variational formulation of the recovery problem where the shape itself is the main unknown, which naturally enforces integrability and permits to avoid integrating the normal field.
Originalsprog | Engelsk |
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Titel | Scale space and variational methods in computer vision : 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings |
Antal sider | 13 |
Forlag | Springer |
Publikationsdato | 2015 |
Sider | 498-510 |
Kapitel | 40 |
ISBN (Trykt) | 978-3-319-18460-9 |
ISBN (Elektronisk) | 978-3-319-18461-6 |
DOI | |
Status | Udgivet - 2015 |
Begivenhed | International Conference, SSVM 2015 - Lège-Cap Ferret, Frankrig Varighed: 31 maj 2015 → 4 jun. 2015 |
Konference
Konference | International Conference, SSVM 2015 |
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Land/Område | Frankrig |
By | Lège-Cap Ferret |
Periode | 31/05/2015 → 04/06/2015 |
Navn | Lecture notes in computer science |
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Vol/bind | 9087 |
ISSN | 0302-9743 |