Calibration-Free Visual Control Using Projective Invariance
Abstract
Much of the previous work on hand-eye coordination has emphasized the reconstructive aspects of vision. Recently, techniques that avoid explicit reconstruction by placing visual feedback into a control loop have been developed. When properly defined, these methods lead to calibration insensitive hand-eye coordination. Recent work on projective geometry as applied to vision is used to extend this paradigm in two ways. First, it is shown how results from projective geometry can be used to perform online calibration. Second, results on projective invariance are used to define setpoints for visual control that are independent of viewing location. These ideas are illustrated through a number of examples and have been tested on an implemented system.<<ETX>>
Cite
Text
Hager. "Calibration-Free Visual Control Using Projective Invariance." IEEE/CVF International Conference on Computer Vision, 1995. doi:10.1109/ICCV.1995.466824Markdown
[Hager. "Calibration-Free Visual Control Using Projective Invariance." IEEE/CVF International Conference on Computer Vision, 1995.](https://mlanthology.org/iccv/1995/hager1995iccv-calibration/) doi:10.1109/ICCV.1995.466824BibTeX
@inproceedings{hager1995iccv-calibration,
title = {{Calibration-Free Visual Control Using Projective Invariance}},
author = {Hager, Gregory D.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1995},
pages = {1009-1015},
doi = {10.1109/ICCV.1995.466824},
url = {https://mlanthology.org/iccv/1995/hager1995iccv-calibration/}
}