• DocumentCode
    3448302
  • Title

    Robust analysis of P3P pose estimation

  • Author

    Hao, Yingming ; Zhu, Feng ; Ou, Jinjun ; Wu, Qingxiao ; Zhou, Jing ; Fu, Shuangfei

  • Author_Institution
    Grad. Sch., Chinese Acad. of Sci., Beijing
  • fYear
    2007
  • fDate
    15-18 Dec. 2007
  • Firstpage
    222
  • Lastpage
    226
  • Abstract
    la this paper, the robustness of pose estimation, which is relative to the input error, is investigated from the view of actual projects, with the P3P problem having unique solution. Firstly the relation between pose error and input error is deduced theoretically. Then we principally analyze the relation between the robustness of pose estimation which relates to measuring error of image coordinates, and intrinsic parameters of pose estimation system. Through theoretical deduction under simple condition and simulation experiments under common condition, we obtain several useful conclusions, i.e. the pose error caused by the measuring error of image coordinates is inversely proportional to camera´s focus ratio; the pose error is independent of image center coordinate; however, it decreases when the interval between the control points of the target model increases, a contrary instance happens on the measuring distance. The conclusion above may provide guidance for designing a pose estimation system.
  • Keywords
    error analysis; pose estimation; image coordinate estimation error; robust P3P pose estimation; Automatic control; Biomimetics; Cameras; Coordinate measuring machines; Error correction; Iterative methods; Optimization methods; Robotics and automation; Robust control; Robustness; P3P problem; pose estimation; robust analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-1761-2
  • Electronic_ISBN
    978-1-4244-1758-2
  • Type

    conf

  • DOI
    10.1109/ROBIO.2007.4522164
  • Filename
    4522164