Reconstructing the Geometry of Flowing Water
Abstract
We present a recording scheme, image formation model and reconstruction method that enables image-based modeling of flowing bodies of water from multivideo input data. The recorded water is dyed with a fluorescent chemical to measure the thickness of a column of water which leads to an image formation model based on integrated emissivities along a viewing ray. This model allows for a photo-consistency based error measure for a weighted minimal surface, which is recovered using a PDE obtained from the Euler-Lagrangian formulation of the problem. The resulting equation is solved using the level set method.
Cite
Text
Ihrke et al. "Reconstructing the Geometry of Flowing Water." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.202Markdown
[Ihrke et al. "Reconstructing the Geometry of Flowing Water." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/ihrke2005iccv-reconstructing/) doi:10.1109/ICCV.2005.202BibTeX
@inproceedings{ihrke2005iccv-reconstructing,
title = {{Reconstructing the Geometry of Flowing Water}},
author = {Ihrke, Ivo and Goldlücke, Bastian and Magnor, Marcus A.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2005},
pages = {1055-1060},
doi = {10.1109/ICCV.2005.202},
url = {https://mlanthology.org/iccv/2005/ihrke2005iccv-reconstructing/}
}