TY - GEN
T1 - Decoupling photometry and geometry in dense variational camera calibration
AU - Aubry, Mathieu
AU - Kolev, Kalin
AU - Goldluecke, Bastian
AU - Cremers, Daniel
PY - 2011/12/1
Y1 - 2011/12/1
N2 - We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and camera calibration. In both quantitative and qualitative experiments, we demonstrate that the proposed decoupling scheme allows for robust and accurate estimation of camera parameters. In particular, the presented dense camera calibration formulation leads to substantial improvements both in the reconstructed 3D geometry and in the super-resolution texture estimation.
AB - We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and camera calibration. In both quantitative and qualitative experiments, we demonstrate that the proposed decoupling scheme allows for robust and accurate estimation of camera parameters. In particular, the presented dense camera calibration formulation leads to substantial improvements both in the reconstructed 3D geometry and in the super-resolution texture estimation.
UR - https://www.scopus.com/pages/publications/84856682220
U2 - 10.1109/ICCV.2011.6126396
DO - 10.1109/ICCV.2011.6126396
M3 - Conference contribution
AN - SCOPUS:84856682220
SN - 9781457711015
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 1411
EP - 1418
BT - 2011 International Conference on Computer Vision, ICCV 2011
T2 - 2011 IEEE International Conference on Computer Vision, ICCV 2011
Y2 - 6 November 2011 through 13 November 2011
ER -