• DocumentCode
    2630797
  • Title

    Structure from multiple 2D affine correspondences without camera calibration

  • Author

    Schweitzer, Haim ; Krishnan, Radha

  • Author_Institution
    Texas Univ., Dallas, TX, USA
  • fYear
    1996
  • fDate
    18-20 Jun 1996
  • Firstpage
    258
  • Lastpage
    263
  • Abstract
    Image motion induced by camera or object motion can be approximated locally by an affine coordinate transformation. We extract 3D information directly from the affine parameters, without camera calibration. The derivation relies on the following assumptions: the object is rigid locally planar, and its local 3D motion is translation. These assumptions enable complete recovery of 3D structure, whereas it is impossible to compute the direction (and magnitude) of the motion. Still, it is possible to distinguish between objects moving differently. Explicit expressions for the structure and the motion indicators are given in terms of the 6 affine parameters, computed for each image patch. Results of experiments on data with known ground truth are described
  • Keywords
    image reconstruction; motion estimation; 2D affine correspondences; 3D structure; affine parameters; ground truth; image motion; recovery; rigid locally planar; Calibration; Cameras; Computer vision; Data mining; Layout; Least squares approximation; Least squares methods; Motion analysis; Motion estimation; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7259-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1996.517083
  • Filename
    517083