FEATS: Synthetic Feature Tracks for Structure from Motion Evaluation

被引:8
|
作者
DeGol, Joseph [1 ]
Lee, Jae Yong [1 ]
Kataria, Rajbir [1 ]
Yuan, Daniel [1 ]
Bretl, Timothy [1 ]
Hoiem, Derek [1 ,2 ]
机构
[1] Univ Illinois, Champaign, IL 61820 USA
[2] Reconstruct Inc, Champaign, IL USA
关键词
D O I
10.1109/3DV.2018.00048
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 SIM 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 VisualSIM; and (2) we calculate 3D point error and show that accurate camera pose estimates do not guarantee accurate 3D maps.
引用
收藏
页码:352 / 361
页数:10
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