• DocumentCode
    2760371
  • Title

    An Approach for 3D Reconstruction from Uncalibrated Images

  • Author

    Lingli Zhao ; Shuai Liu ; Li, Junsheng ; Xu, Haicheng ; Shuai Liu ; Lingli Zhao

  • Author_Institution
    Sch. of Eng., Honghe Univ., Mengzi, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    390
  • Lastpage
    393
  • Abstract
    Three-dimensional (3D) reconstruction considering of image sequences is an unresolved and active research topic on the cross-section of computer vision and digital photogrammetry. In this paper, we focus on 3D object shape reconstruction from uncalibrated images and put forward a rapid algorithm to recover the object height. The recovering 3D shape comprises two steps, for the one hand, calculate homography transformation to obtain the outlines, for the other hand calculate the reconstructed object height by reference height proposed by the paper, and then recover the 3D object shape. This method requires no camera calibration or the estimation of the fundamental matrix; hence, it reduces the computational complexity by eliminating the requirement for abundant conjugate points. The experiment shows that the method is much validated and something useful is obtained.
  • Keywords
    computer vision; image reconstruction; image sequences; photogrammetry; 3D object shape reconstruction; 3D reconstruction; abundant conjugate points; camera calibration; computational complexity; computer vision cross-section; digital photogrammetry; fundamental matrix; homography transformation; reference height; uncalibrated image sequence; Calibration; Cameras; Computational complexity; Computer vision; Geometry; Image reconstruction; Image sequences; Pixel; Shape; Transmission line matrix methods; 3D Reconstruction; Computer Vision; Photogrammetry; Silhouette;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.128
  • Filename
    5493157