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_179

Markdown

[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_179

BibTeX

@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/}
}