• DocumentCode
    3017685
  • Title

    A Direct and Efficient Method for Piecewise-Planar Surface Reconstruction from Stereo Images

  • Author

    Sugimoto, Shigeki ; Okutomi, Masatoshi

  • Author_Institution
    Tokyo Inst. of Technol., Tokyo
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we propose a direct method for 3D surface reconstruction from stereo images. We reconstruct a 3D surface by estimating all depths of the vertices of a mesh composed of piecewise triangular patches on the reference (template) image. The analyses described in this paper subsume that the deformation of the mesh between the stereo images is specified by homographies, each of which represents the deformation of a single patch. The homography deforms each patch which has 3 d.o.f under epipolar constraints. We first formulate a fast "direct" method for estimating the three parameters of a 3D plane by incorporating inverse compositional expression into the sum of squared differences (SSD) function of two stereo images. This method is about eight times faster than the conventional method. Then we extend the direct method to the estimation of the vertex depths in the mesh for reconstructing piecewise-planar surfaces. The validity of the proposed method is demonstrated through results of experiments using synthetic and real images.
  • Keywords
    computational geometry; image reconstruction; mesh generation; solid modelling; stereo image processing; image homography; mesh deformation; piecewise triangular mesh patches; piecewise-planar 3D surface reconstruction; squared differences function; stereo images; Control engineering; Image reconstruction; Legged locomotion; Navigation; Object oriented modeling; Orbital robotics; Parameter estimation; Robots; Stereo image processing; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383250
  • Filename
    4270275