ML Anthology

Towards Internet-Scale Multi-View Stereo

Yasutaka Furukawa, Brian Curless, Steven M. Seitz, Richard Szeliski
CVPR 2010 pp. 1434-1441
doi:10.1109/CVPR.2010.5539802 /cvpr/2010/furukawa2010cvpr-internet/

Abstract

This paper introduces an approach for enabling existing multi-view stereo methods to operate on extremely large unstructured photo collections. The main idea is to decompose the collection into a set of overlapping sets of photos that can be processed in parallel, and to merge the resulting reconstructions. This overlapping clustering problem is formulated as a constrained optimization and solved iteratively. The merging algorithm, designed to be parallel and out-of-core, incorporates robust filtering steps to eliminate low-quality reconstructions and enforce global visibility constraints. The approach has been tested on several large datasets downloaded from Flickr.com, including one with over ten thousand images, yielding a 3D reconstruction with nearly thirty million points.

CVPR Semantic Scholar

Cite

Text

Furukawa et al. "Towards Internet-Scale Multi-View Stereo." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5539802

Markdown

[Furukawa et al. "Towards Internet-Scale Multi-View Stereo." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/furukawa2010cvpr-internet/) doi:10.1109/CVPR.2010.5539802

BibTeX

@inproceedings{furukawa2010cvpr-internet,
  title     = {{Towards Internet-Scale Multi-View Stereo}},
  author    = {Furukawa, Yasutaka and Curless, Brian and Seitz, Steven M. and Szeliski, Richard},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {1434-1441},
  doi       = {10.1109/CVPR.2010.5539802},
  url       = {https://mlanthology.org/cvpr/2010/furukawa2010cvpr-internet/}
}