Removal of Translation Bias When Using Subspace Methods
Abstract
Given estimates of the motion field (optic flow) from an image sequence, it is possible to recover translational direction, T/spl I.oarr/, using a variety of techniques. One such technique, known as "subspace methods, generates constraints which are perpendicular to T/spl I.oarr/, so that two distinct constraints allow a solution for T/spl I.oarr/. In practice many constraints are used in a least-squares solution, but it has been observed that the recovered estimates for T/spl I.oarr/ are biased towards the optical axis. While the cause of the bias is well known, previous attempts to remove it have been flawed. This paper outlines a new method which removes the bias. The technique is simple to apply and computationally efficient.
Cite
Text
MacLean. "Removal of Translation Bias When Using Subspace Methods." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.790297Markdown
[MacLean. "Removal of Translation Bias When Using Subspace Methods." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/maclean1999iccv-removal/) doi:10.1109/ICCV.1999.790297BibTeX
@inproceedings{maclean1999iccv-removal,
title = {{Removal of Translation Bias When Using Subspace Methods}},
author = {MacLean, W. James},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1999},
pages = {753-758},
doi = {10.1109/ICCV.1999.790297},
url = {https://mlanthology.org/iccv/1999/maclean1999iccv-removal/}
}