• DocumentCode
    1545879
  • Title

    Linear N-point camera pose determination

  • Author

    Quan, Long ; Lan, Zhongdan

  • Author_Institution
    CNRS, INRIA, Montbonnot, France
  • Volume
    21
  • Issue
    8
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    774
  • Lastpage
    780
  • Abstract
    The determination of camera position and orientation from known correspondences of 3D reference points and their images is known as pose estimation in computer vision and space resection in photogrammetry. It is well-known that from three corresponding points there are at most four algebraic solutions. Less appears to be known about the cases of four and five corresponding points. We propose a family of linear methods that yield a unique solution to 4- and 5-point pose determination for generic reference points. We first review the 3-point algebraic method. Then we present our two-step, 4-point and one-step, 5-point linear algorithms. The 5-point method can also be extended to handle more than five points. Finally, we demonstrate our methods on both simulated and real images. We show that they do not degenerate for coplanar configurations and even outperform the special linear algorithm for coplanar configurations in practice
  • Keywords
    computer vision; polynomials; singular value decomposition; 3-point algebraic method; 3D reference points; camera orientation; camera position; coplanar configurations; linear N-point camera pose determination; one-step 5-point linear algorithm; photogrammetry; pose estimation; space resection; two-step 4-point algorithm; Calibration; Cameras; Closed-form solution; Computer vision; Filtering; Iterative algorithms; Iterative methods; Numerical stability; Position measurement; Transmission line matrix methods;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.784291
  • Filename
    784291