Fast and Accurate Self-Calibration
Abstract
We describe new techniques for self-calibration and for recovering the motion from a projective reconstruction when the calibration is known. We show that our approach deals with the ambiguities in self-calibration produced by special motions. We extend our techniques to deal with varying calibration parameters. In passing, we prove convergence for the iterative projective-reconstruction algorithm of (Sturm and Triggs, 1996) and (Berthilsson et al., 1997).
Cite
Text
Oliensis. "Fast and Accurate Self-Calibration." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.790296Markdown
[Oliensis. "Fast and Accurate Self-Calibration." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/oliensis1999iccv-fast/) doi:10.1109/ICCV.1999.790296BibTeX
@inproceedings{oliensis1999iccv-fast,
title = {{Fast and Accurate Self-Calibration}},
author = {Oliensis, John},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1999},
pages = {745-752},
doi = {10.1109/ICCV.1999.790296},
url = {https://mlanthology.org/iccv/1999/oliensis1999iccv-fast/}
}