@inproceedings{673c352c673c42a6b2138f9204e1bc6f,
title = "FEATS: Synthetic feature tracks for structure from motion evaluation",
abstract = "We present FEATS (Feature Extraction and Tracking Simulator), that synthesizes feature tracks using a camera trajectory and scene geometry (e.g. CAD, multi-view stereo). We introduce 2D feature and matching noise models that can be controlled using a few parameters. We also provide a new dataset of images and ground truth camera pose. We process this data (and a synthetic version) with several current SfM algorithms and show that the synthetic tracks are representative of the real tracks. We then show two practical uses of FEATS: (1) we generate hundreds of trajectories with varying noise and show that COLMAP is more robust to noise than OpenSfM and VisualSfM; and (2) we calculate 3D point error and show that accurate camera pose estimates do not guarantee accurate 3D maps.",
keywords = "3D Reconstruction, Feature Modeling, Noise Modeling, SfM, Simulation, Structure from Motion",
author = "Joseph Degol and Lee, {Jae Yong} and Rajbir Kataria and Daniel Yuan and Timothy Bretl and Derek Hoiem",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on 3D Vision, 3DV 2018 ; Conference date: 05-09-2018 Through 08-09-2018",
year = "2018",
month = oct,
day = "12",
doi = "10.1109/3DV.2018.00048",
language = "English (US)",
series = "Proceedings - 2018 International Conference on 3D Vision, 3DV 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "352--361",
booktitle = "Proceedings - 2018 International Conference on 3D Vision, 3DV 2018",
address = "United States",
}