• DocumentCode
    2633620
  • Title

    A space-sweep approach to true multi-image matching

  • Author

    Collins, Robert T.

  • Author_Institution
    Dept. of Comput., Massachusetts Univ., Amherst, MA, USA
  • fYear
    1996
  • fDate
    18-20 Jun 1996
  • Firstpage
    358
  • Lastpage
    363
  • Abstract
    The problem of determining feature correspondences across multiple views is considered. The term “true multi-image” matching is introduced to describe techniques that make full and efficient use of the geometric relationships between multiple images and the scene. A true multi-image technique must generalize to any number of images, be of linear algorithmic complexity in the number of images, and use all the images in an equal manner. A new space-sweep approach to true multi-image matching is presented that simultaneously determines 2D feature correspondences and the 3D positions of feature points in the scene. The method is illustrated on a seven-image matching example from the aerial image domain
  • Keywords
    computational complexity; feature extraction; image matching; 3D positions; aerial image domain; feature correspondences; geometric relationships; linear algorithmic complexity; multiple images; multiple views; scene; space-sweep approach; true multi-image matching; Cameras; Computer science; Contracts; Image reconstruction; Layout; Lenses; Shape; Stereo image processing; Tracking; Uniform resource locators;
  • 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.1996.517097
  • Filename
    517097