The judgment method for the unique solution of real-time pose estimation from particular line correspondences

被引:0
|
作者
Qin, Lijuan [1 ,2 ]
Zhu, Feng [1 ]
机构
[1] Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
关键词
line features; pose estimation; multi-solution phenomenon; unique solution;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We usually can determine object pose from three lines in general position. For the particular line configuration of three non-coplanar lines which intersect at two points', it has some particular characteristics three lines in general position don't have, thus its mathematical expression is easy and it is easy to solve if we use this particular line configuration to locate object. This method enriches the pose estimation methods from three line correspondences in theory, at the same time, it provides the base for the practical applications. The article introduces the pose estimation method from this particular line configuration. The multi-solution phenomenon is the dominating problem that puzzles the computer vision for a long time and it will limit the application of pose estimation algorithm. To solve the multi-solution problem, we present a novel method, to find the unique solution by position information of space lines. Especially, we provide a detailed account of the realizable aspects of the judgment method. At last, the simulation results which demonstrate our algorithm method works fast and robust are presented.
引用
收藏
页码:1216 / +
页数:2
相关论文
共 50 条
  • [1] New method for pose estimation from line correspondences
    Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110116, China
    不详
    [J]. Zidonghua Xuebao, 2008, 2 (130-134):
  • [2] A New Method for Pose Estimation from Line Correspondences
    QIN Li-Juan ZHU Feng 1.Shenyang Institute of Automation
    [J]. 自动化学报, 2008, (02) : 130 - 134
  • [3] A Minimal Solution for Non-perspective Pose Estimation from Line Correspondences
    Lee, Gim Hee
    [J]. COMPUTER VISION - ECCV 2016, PT V, 2016, 9909 : 170 - 185
  • [4] Real-time camera pose estimation via line tracking
    Liu, Yanli
    Chen, Xianghui
    Gu, Tianlun
    Zhang, Yanci
    Xing, Guanyu
    [J]. VISUAL COMPUTER, 2018, 34 (6-8): : 899 - 909
  • [5] Real-time camera pose estimation via line tracking
    Yanli Liu
    Xianghui Chen
    Tianlun Gu
    Yanci Zhang
    Guanyu Xing
    [J]. The Visual Computer, 2018, 34 : 899 - 909
  • [6] Rigid Body Pose Estimation from Line Correspondences
    Yue, Yantao
    Sun, Xiangyi
    [J]. 2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC), 2018, : 609 - 613
  • [7] Globally Optimal Pose Estimation from Line Correspondences
    Mirzaei, Faraz M.
    Roumeliotis, Stergios I.
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011,
  • [8] Real-time face pose estimation
    McKenna, SJ
    Gong, S
    [J]. REAL-TIME IMAGING, 1998, 4 (05) : 333 - 347
  • [9] CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences
    Agostinho, Sergio
    Gomes, Joao
    Del Bue, Alessio
    [J]. JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2023, 65 (03) : 492 - 512
  • [10] CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences
    Sérgio Agostinho
    João Gomes
    Alessio Del Bue
    [J]. Journal of Mathematical Imaging and Vision, 2023, 65 : 492 - 512