A L1-TV algorithm for robust perspective photometric stereo with spatially-varying lightings
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
---|---|
Title of host publication | Scale space and variational methods in computer vision : 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings |
Number of pages | 13 |
Publisher | Springer |
Publication date | 2015 |
Pages | 498-510 |
Chapter | 40 |
ISBN (Print) | 978-3-319-18460-9 |
ISBN (Electronic) | 978-3-319-18461-6 |
DOIs | |
Publication status | Published - 2015 |
Event | International Conference, SSVM 2015 - Lège-Cap Ferret, France Duration: 31 May 2015 → 4 Jun 2015 |
Conference
Conference | International Conference, SSVM 2015 |
---|---|
Land | France |
By | Lège-Cap Ferret |
Periode | 31/05/2015 → 04/06/2015 |
Series | Lecture notes in computer science |
---|---|
Volume | 9087 |
ISSN | 0302-9743 |
ID: 144735454