• DocumentCode
    2792665
  • Title

    A new method of 3D reconstruction baseing on images sequence using hand-hold camera

  • Author

    Zhao, Jie ; Zhang, Ying-Kang ; Yan, Dong-ming

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding
  • Volume
    5
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2723
  • Lastpage
    2728
  • Abstract
    3D reconstruction is an important technique in the field of computer vision. The traditional 3D reconstruction technology involves the self-calibration method basing on dual absolute quadric. However, some drawbacks in this method cause this technology less robust. First, usually the solution of the dual quadric matrix can not satisfy the positive-definiteness condition caused by loud noise in data; second, if the motion of the camera is too restricted, the calibration degeneracy will turn up causing the reconstruction failed. To these questions, we design a new method for calibrating the camera using the camera pure rotating calibration and decomposing the essential matrix. So, the metric structure can be got directly avoiding the less robustness caused by self-calibration. Experiments show that, using this method the reconstruction has an efficient result and the procedure is convenient.
  • Keywords
    cameras; computer vision; image reconstruction; image sequences; matrix algebra; 3D reconstruction; calibration degeneracy; computer vision; dual absolute quadric; dual quadric matrix; hand-hold camera; image sequence; self-calibration method; Calibration; Cameras; Computer vision; Cybernetics; Image reconstruction; Image sequences; Layout; Machine learning; Matrix decomposition; Robustness; 3D Reconstruction; Bundle Adjustment; Camera Rotating Calibration; Camera Self-calibration; Computer Vision; Essential Matrix; L-M Algorithm; Metric Structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620869
  • Filename
    4620869