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.
Year
DOI
Venue
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 DeGol192.27
Jae Yong Lee200.68
Rajbir Kataria300.68
Daniel Yuan400.34
Bretl, T.5543.18
Derek Hoiem64998302.66