@article{
 title = {Structure-from-Motion Revisited},
 type = {article},
 year = {2016},
 pages = {4104-4113},
 volume = {2016-Decem},
 id = {2d7aca06-8cc2-3dca-a17a-1ffc5fb4deb4},
 created = {2022-09-19T10:49:12.259Z},
 file_attached = {true},
 profile_id = {276016a7-2c9d-3507-8888-093db7c54774},
 group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},
 last_modified = {2022-09-19T10:50:21.437Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 folder_uuids = {02fb5526-03ff-44ad-8d5c-42bd496c3100},
 private_publication = {false},
 abstract = {Incremental Structure-from-Motion is a prevalent strategy for 3D reconstruction from unordered image collections. While incremental reconstruction systems have tremendously advanced in all regards, robustness, accuracy, completeness, and scalability remain the key problems towards building a truly general-purpose pipeline. We propose a new SfM technique that improves upon the state of the art to make a further step towards this ultimate goal. The full reconstruction pipeline is released to the public as an open-source implementation.},
 bibtype = {article},
 author = {Schonberger, Johannes L. and Frahm, Jan Michael},
 doi = {10.1109/CVPR.2016.445},
 journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition}
}

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