The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces
Abstract
We introduce an approach for analyzing annotated maps of a site, together with Internet photos, to reconstruct large indoor spaces of famous tourist sites. While current 3D reconstruction algorithms often produce a set of disconnected components (3D pieces) for indoor scenes due to scene coverage or matching failures, we make use of a provided map to lay out the 3D pieces in a global coordinate system. Our approach leverages position, orientation, and shape cues extracted from the map and 3D pieces and optimizes a global objective to recover the global layout of the pieces. We introduce a novel crowd flow cue that measures how people move across the site to recover 3D geometry orientation. We show compelling results on major tourist sites.
Cite
Text
Martin-Brualla et al. "The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-10578-9_1Markdown
[Martin-Brualla et al. "The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/martinbrualla2014eccv-d/) doi:10.1007/978-3-319-10578-9_1BibTeX
@inproceedings{martinbrualla2014eccv-d,
title = {{The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces}},
author = {Martin-Brualla, Ricardo and He, Yanling and Russell, Bryan C. and Seitz, Steven M.},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {1-16},
doi = {10.1007/978-3-319-10578-9_1},
url = {https://mlanthology.org/eccv/2014/martinbrualla2014eccv-d/}
}