• DocumentCode
    1640491
  • Title

    Homotopy-based computation of defocus blur and affine transform

  • Author

    Deschênes, F. ; Ziou, D.

  • Author_Institution
    Departement de mathematiques et d´´informatique, Univ. de Sherbrooke, Que., Canada
  • Volume
    1
  • fYear
    2003
  • Abstract
    This paper presents a homotopy-based algorithm for simultaneous recovery of defocus blur and the affine transformation between two images of the same scene. One of the images (and its partial derivatives) is expressed as a function of the second image, partial derivatives of the two images, blur difference, affine parameters and a continuous parameter derived from homotopy methods. All of these unknowns can thus be directly computed by resolving a system of equations. The proposed algorithm is tested using synthetic and real images. The results confirm that dense and accurate estimation can be obtained.
  • Keywords
    computer vision; image matching; affine matching; affine transform; blur difference; computer vision; defocus blur estimation; homotopy method; homotopy-based computation; image partial derivative; real images; simultaneous recovery; synthetic images; Application software; Brightness; Cameras; Computer vision; Equations; Image matching; Image motion analysis; Layout; Radiometry; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-1900-8
  • Type

    conf

  • DOI
    10.1109/CVPR.2003.1211381
  • Filename
    1211381