The ability to create an accurate three-dimensional reconstruction of a captured scene draws attention to the principles of light fields. This paper presents an approach for light field camera calibration and rectification, based on pairwise pattern-based parameters extraction. It is followed by a correspondence-based algorithm for camera parameters refinement from arbitrary scenes using the triangulation filter and nonlinear optimization. The effectiveness of our approach is validated on both real and synthetic data.
@article{arxiv.2106.06181,
title = {Calibration and Auto-Refinement for Light Field Cameras},
author = {Yuriy Anisimov and Gerd Reis and Didier Stricker},
journal= {arXiv preprint arXiv:2106.06181},
year = {2021}
}
Comments
Presented on 29. International Conference on Computer Graphics, Visualization and Computer Vision 2021 (WSCG 2021)