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
Link To Document :
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