Correcting for Duplicate Scene Structure in Sparse 3D Reconstruction
Abstract
Structure from motion (SfM) is a common technique to recover 3D geometry and camera poses from sets of images of a common scene. In many urban environments, however, there are symmetric, repetitive, or duplicate structures that pose challenges for SfM pipelines. The result of these ambiguous structures is incorrectly placed cameras and points within the reconstruction. In this paper, we present a post-processing method that can not only detect these errors, but successfully resolve them. Our novel approach proposes the strong and informative measure of conflicting observations, and we demonstrate that it is robust to a large variety of scenes.
Cite
Text
Heinly et al. "Correcting for Duplicate Scene Structure in Sparse 3D Reconstruction." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-10593-2_51Markdown
[Heinly et al. "Correcting for Duplicate Scene Structure in Sparse 3D Reconstruction." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/heinly2014eccv-correcting/) doi:10.1007/978-3-319-10593-2_51BibTeX
@inproceedings{heinly2014eccv-correcting,
title = {{Correcting for Duplicate Scene Structure in Sparse 3D Reconstruction}},
author = {Heinly, Jared and Dunn, Enrique and Frahm, Jan-Michael},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {780-795},
doi = {10.1007/978-3-319-10593-2_51},
url = {https://mlanthology.org/eccv/2014/heinly2014eccv-correcting/}
}