Photo-Consistent 3D Fire by Flame-Sheet Decomposition
Abstract
This paper considers the problem of reconstructing visually realistic 3D models of fire from a very small set of simultaneous views (even two). By modeling fire as a semitransparent 3D density field, we show that fire reconstruction is equivalent to a severely under-constrained computerized tomography problem, for which traditional methods break down. Our approach is based on the observation that every pair of photographs of a semitransparent scene defines a unique density field, called a Flame Sheet, that (1) concentrates all its density on one connected, semitransparent surface, (2) reproduces the two photos exactly, and (3) is the most spatially-coherent density field that does so. From this observation, we reduce fire reconstruction to the convex combination of sheet-like density fields, each of which is derived from the Flame Sheet of two input photos. Experimental results suggest that this method enables high-quality view extrapolation without over-fitting artifacts.
Cite
Text
Hasinoff and Kutulakos. "Photo-Consistent 3D Fire by Flame-Sheet Decomposition." IEEE/CVF International Conference on Computer Vision, 2003. doi:10.1109/ICCV.2003.1238626Markdown
[Hasinoff and Kutulakos. "Photo-Consistent 3D Fire by Flame-Sheet Decomposition." IEEE/CVF International Conference on Computer Vision, 2003.](https://mlanthology.org/iccv/2003/hasinoff2003iccv-photo/) doi:10.1109/ICCV.2003.1238626BibTeX
@inproceedings{hasinoff2003iccv-photo,
title = {{Photo-Consistent 3D Fire by Flame-Sheet Decomposition}},
author = {Hasinoff, Samuel W. and Kutulakos, Kiriakos N.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2003},
pages = {1184-1193},
doi = {10.1109/ICCV.2003.1238626},
url = {https://mlanthology.org/iccv/2003/hasinoff2003iccv-photo/}
}