Abstract | ||
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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. |
Year | DOI | Venue |
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2018 | 10.1109/3DV.2018.00048 | 2018 International Conference on 3D Vision (3DV) |
Keywords | Field | DocType |
3D Reconstruction,Structure from Motion,SfM,Simulation,Feature Modeling,Noise Modeling | Structure from motion,CAD,Computer vision,Computer science,Feature extraction,Ground truth,Artificial intelligence,Feature modeling,Trajectory,3D reconstruction | Conference |
ISSN | ISBN | Citations |
2378-3826 | 978-1-5386-8426-9 | 0 |
PageRank | References | Authors |
0.34 | 20 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joseph DeGol | 1 | 9 | 2.27 |
Jae Yong Lee | 2 | 0 | 0.68 |
Rajbir Kataria | 3 | 0 | 0.68 |
Daniel Yuan | 4 | 0 | 0.34 |
Bretl, T. | 5 | 54 | 3.18 |
Derek Hoiem | 6 | 4998 | 302.66 |