Unsupervised Intrinsic Calibration from a Single Frame Using a "Plumb-Line" Approach
Abstract
Estimating the amount and center of distortion from lines in the scene has been addressed in the literature by the socalled "plumb-line" approach. In this paper we propose a new geometric method to estimate not only the distortion parameters but the entire camera calibration (up to an "angular" scale factor) using a minimum of 3 lines. We propose a new framework for the unsupervised simultaneous detection of natural image of lines and camera parameters estimation, enabling a robust calibration from a single image. Comparative experiments with existing automatic approaches for the distortion estimation and with ground truth data are presented.
Cite
Text
Melo et al. "Unsupervised Intrinsic Calibration from a Single Frame Using a "Plumb-Line" Approach." International Conference on Computer Vision, 2013.Markdown
[Melo et al. "Unsupervised Intrinsic Calibration from a Single Frame Using a "Plumb-Line" Approach." International Conference on Computer Vision, 2013.](https://mlanthology.org/iccv/2013/melo2013iccv-unsupervised/)BibTeX
@inproceedings{melo2013iccv-unsupervised,
title = {{Unsupervised Intrinsic Calibration from a Single Frame Using a "Plumb-Line" Approach}},
author = {Melo, R. and Antunes, M. and Barreto, J.P. and Falcao, G. and Goncalves, N.},
booktitle = {International Conference on Computer Vision},
year = {2013},
url = {https://mlanthology.org/iccv/2013/melo2013iccv-unsupervised/}
}