@inproceedings{8ce1ac94aea047429c05f96aecfab5fa,
title = "Calibrating light-field cameras using plenoptic disc features",
abstract = "This paper proposes a new method for estimating calibration parameters of plenoptic cameras by minimizing the nonlinear plenoptic reprojection error. Novel plenoptic feature types are proposed as data for the calibration method. These plenoptic disc features are in a natural one-to-one correspondence with physical points in front of the camera. We exploit the intrinsic geometry of plenoptic cameras in a novel projection model that relates the plenoptic disc features to physical points. The resulting calibration quality, as quantified by mean reprojection error and 3D reconstruction error, outperforms recently published results.",
keywords = "Calibration, Plenoptic cameras",
author = "Sean O'Brien and Jochen Trumpf and Viorela Ila and Robert Mahony",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on 3D Vision, 3DV 2018 ; Conference date: 05-09-2018 Through 08-09-2018",
year = "2018",
month = oct,
day = "12",
doi = "10.1109/3DV.2018.00041",
language = "English",
series = "Proceedings - 2018 International Conference on 3D Vision, 3DV 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "286--294",
booktitle = "Proceedings - 2018 International Conference on 3D Vision, 3DV 2018",
address = "United States",
}