Fast Automatic Single-View 3-D Reconstruction of Urban Scenes
Abstract
We consider the problem of estimating 3-d structure from a single still image of an outdoor urban scene. Our goal is to efficiently create 3-d models which are visually pleasant. We chose an appropriate 3-d model structure and formulate the task of 3-d reconstruction as model fitting problem. Our 3-d models are composed of a number of vertical walls and a ground plane, where ground-vertical boundary is a continuous polyline. We achieve computational efficiency by special preprocessing together with stepwise search of 3-d model parameters dividing the problem into two smaller sub-problems on chain graphs. The use of Conditional Random Field models for both problems allows to various cues. We infer orientation of vertical walls of 3-d model vanishing points.
Cite
Text
Barinova et al. "Fast Automatic Single-View 3-D Reconstruction of Urban Scenes." European Conference on Computer Vision, 2008. doi:10.1007/978-3-540-88688-4_8Markdown
[Barinova et al. "Fast Automatic Single-View 3-D Reconstruction of Urban Scenes." European Conference on Computer Vision, 2008.](https://mlanthology.org/eccv/2008/barinova2008eccv-fast/) doi:10.1007/978-3-540-88688-4_8BibTeX
@inproceedings{barinova2008eccv-fast,
title = {{Fast Automatic Single-View 3-D Reconstruction of Urban Scenes}},
author = {Barinova, Olga and Konushin, Vadim and Yakubenko, Anton and Lee, KeeChang and Lim, Hwasup and Konushin, Anton},
booktitle = {European Conference on Computer Vision},
year = {2008},
pages = {100-113},
doi = {10.1007/978-3-540-88688-4_8},
url = {https://mlanthology.org/eccv/2008/barinova2008eccv-fast/}
}