Dense Matching of Multiple Wide-Baseline Views
Abstract
This paper describes a PDE-based method for dense depth extraction from multiple wide-baseline images. Emphasis lies on the usage of only a small amount of images. The integration of these multiple wide-baseline views is guided by the relative confidence that the system has in the matching to different views. This weighting is fine-grained in that it is determined for every pixel at every iteration. Reliable information spreads fast at the expense of less reliable data, both in terms of spatial communications within a view and in terms of information exchange between the views. Changes in intensity between images can be handled in a similar fine grained fashion.
Cite
Text
Strecha et al. "Dense Matching of Multiple Wide-Baseline Views." IEEE/CVF International Conference on Computer Vision, 2003. doi:10.1109/ICCV.2003.1238627Markdown
[Strecha et al. "Dense Matching of Multiple Wide-Baseline Views." IEEE/CVF International Conference on Computer Vision, 2003.](https://mlanthology.org/iccv/2003/strecha2003iccv-dense/) doi:10.1109/ICCV.2003.1238627BibTeX
@inproceedings{strecha2003iccv-dense,
title = {{Dense Matching of Multiple Wide-Baseline Views}},
author = {Strecha, Christoph and Tuytelaars, Tinne and Van Gool, Luc},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2003},
pages = {1194-1201},
doi = {10.1109/ICCV.2003.1238627},
url = {https://mlanthology.org/iccv/2003/strecha2003iccv-dense/}
}