Reconstructing Polyhedral Models of Architectural Scenes from Photographs
Abstract
This paper presents a new image-based modeling method that facilitates the recovery of accurate polyhedral models of architectural scenes. The method is particularly effective because it exploits many of the constraints that are characteristic of architectural scenes. This work is placed in the context of the FaÇade project, whose goal is to use images to produce photo-realistic novel views of architectural scenes.
Cite
Text
Taylor et al. "Reconstructing Polyhedral Models of Architectural Scenes from Photographs." European Conference on Computer Vision, 1996. doi:10.1007/3-540-61123-1_179Markdown
[Taylor et al. "Reconstructing Polyhedral Models of Architectural Scenes from Photographs." European Conference on Computer Vision, 1996.](https://mlanthology.org/eccv/1996/taylor1996eccv-reconstructing/) doi:10.1007/3-540-61123-1_179BibTeX
@inproceedings{taylor1996eccv-reconstructing,
title = {{Reconstructing Polyhedral Models of Architectural Scenes from Photographs}},
author = {Taylor, Camillo J. and Debevec, Paul E. and Malik, Jitendra},
booktitle = {European Conference on Computer Vision},
year = {1996},
pages = {659-668},
doi = {10.1007/3-540-61123-1_179},
url = {https://mlanthology.org/eccv/1996/taylor1996eccv-reconstructing/}
}