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
相关论文
共 50 条
  • [1] Towards a Fair Evaluation of Feature Extraction Algorithms Robustness in Structure from Motion
    Taha, Dina M.
    Zayed, Hala H.
    El-Mashad, Shady Y.
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (11) : 330 - 337
  • [2] A Dynamic Programming Approach to Maximizing Tracks for Structure from Motion
    Mooser, Jonathan
    You, Suya
    Neumann, Ulrich
    Grasset, Raphael
    Billinghurst, Mark
    COMPUTER VISION - ACCV 2009, PT II, 2010, 5995 : 1 - +
  • [3] MOTION AND STRUCTURE FROM FEATURE CORRESPONDENCES - A REVIEW
    HUANG, TS
    NETRAVALI, AN
    PROCEEDINGS OF THE IEEE, 1994, 82 (02) : 252 - 268
  • [4] Evaluation of Feature Matching in Aerial Imagery for Structure-from-Motion and Bundle Adjustment
    Gao, Ke
    AliAkbarpour, Hadi
    Palaniappan, Kannappan
    Seetharaman, Guna
    GEOSPATIAL INFORMATICS, MOTION IMAGERY, AND NETWORK ANALYTICS VIII, 2018, 10645
  • [5] MOTION AND STRUCTURE FROM FEATURE CORRESPONDENCES - A REVIEW - PROLOG
    LIKOUREZOS, G
    PROCEEDINGS OF THE IEEE, 1994, 82 (02) : 251 - 251
  • [6] THE EVALUATION OF STRUCTURE-FROM-MOTION WORKFLOW WITH THE TLS SYNTHETIC IMAGES SIMULATOR - THE CULTURAL HERITAGE APPROACH
    Markiewicz, J.
    Kowalczyk, M.
    Karwel, K.
    Kot, P.
    Markiewicz, L.
    29TH CIPA SYMPOSIUM DOCUMENTING, UNDERSTANDING, PRESERVING CULTURAL HERITAGE. HUMANITIES AND DIGITAL TECHNOLOGIES FOR SHAPING THE FUTURE, VOL. 48-M-2, 2023, : 1013 - 1020
  • [7] Feature specific segmentation in perceived structure-from-motion
    Li, HCO
    Kingdom, FAA
    VISION RESEARCH, 1999, 39 (05) : 881 - 886
  • [8] Geometry and Coherence Based Feature Matching for Structure from Motion
    Wei, Kai
    Sun, Kun
    Tao, Wenbing
    MIPPR 2017: PATTERN RECOGNITION AND COMPUTER VISION, 2017, 10609
  • [9] Superpixel-Based Feature Tracking for Structure from Motion
    Cao, Mingwei
    Jia, Wei
    Lv, Zhihan
    Zheng, Liping
    Liu, Xiaoping
    APPLIED SCIENCES-BASEL, 2019, 9 (15):
  • [10] The uncertainty and deviation evaluation of system tracks and motion models
    Zhu, Zhiqiang
    Gong, Fengxun
    Ma, Yanqiu
    Lyv, Peipei
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2024, 32 (07): : 724 - 732