• DocumentCode
    2530758
  • Title

    Projective registration with difference decomposition

  • Author

    Gleicher, Michael

  • Author_Institution
    Apple Res. Labs., Cupertino, CA, USA
  • fYear
    1997
  • fDate
    17-19 Jun 1997
  • Firstpage
    331
  • Lastpage
    337
  • Abstract
    Current methods for registering image regions perform well for simple transformations or large image regions. The author presents a new method that is better able to handle small image regions as they deform with nonlinear transformations. He introduces difference decomposition, a novel approach to solving the registration problem. The method is a generalization of previous methods and can better handle nonlinear transforms. Although the methods are general, he focuses on projective transformations and introduces piecewise-projective transformations for modeling the motions of non-planar objects. He concludes with examples from a prototype implementation
  • Keywords
    computer vision; image registration; image segmentation; motion estimation; performance evaluation; difference decomposition; image region registration; image transformations; nonlinear transformations; nonplanar object motion modeling; performance; piecewise-projective transformations; projective registration; prototype implementation; Application software; Computer errors; Computer graphics; Computer vision; Image coding; Image recognition; Laboratories; Prototypes; Surveillance; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
  • Conference_Location
    San Juan
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7822-4
  • Type

    conf

  • DOI
    10.1109/CVPR.1997.609345
  • Filename
    609345