The Bi-Directional Framework for Unifying Parametric Image Alignment Approaches
Abstract
In this paper, a generic bi-directional framework is proposed for parametric image alignment, that extends the classification of [1]. Four main categories (Forward, Inverse, Dependent and Bi-directional) form the basis of a consistent set of subclasses, onto which state-of-the-art methods have been mapped. New formulations for the ESM [2] and the Inverse Additive [3] algorithms are proposed, that show the ability of this framework to unify existing approaches. New explicit equivalence relationships are given for the case of first-order optimization that provide some insights into the choice of an update rule in iterative algorithms.
Cite
Text
Mégret et al. "The Bi-Directional Framework for Unifying Parametric Image Alignment Approaches." European Conference on Computer Vision, 2008. doi:10.1007/978-3-540-88690-7_30Markdown
[Mégret et al. "The Bi-Directional Framework for Unifying Parametric Image Alignment Approaches." European Conference on Computer Vision, 2008.](https://mlanthology.org/eccv/2008/megret2008eccv-bi/) doi:10.1007/978-3-540-88690-7_30BibTeX
@inproceedings{megret2008eccv-bi,
title = {{The Bi-Directional Framework for Unifying Parametric Image Alignment Approaches}},
author = {Mégret, Rémi and Authesserre, Jean-Baptiste and Berthoumieu, Yannick},
booktitle = {European Conference on Computer Vision},
year = {2008},
pages = {400-411},
doi = {10.1007/978-3-540-88690-7_30},
url = {https://mlanthology.org/eccv/2008/megret2008eccv-bi/}
}