DocumentCode
2241159
Title
Extracting affine deformations from image patches. I. Finding scale and rotation
Author
Manmatha, R. ; Oliensis, John
Author_Institution
Dept. of Comput Sci. Massachusetts Univ., Amherst, MA, USA
fYear
1993
fDate
15-17 Jun 1993
Firstpage
754
Lastpage
755
Abstract
Image deformations due to relative motion between an observer and an object may be used to infer 3-D structure. Up to the first order, these deformations can be written in terms of an affine transform. A novel approach is adopted to measuring affine transforms which correctly handles the problem of corresponding deformed patches. The patches are filtered using Gaussians and derivatives of Gaussians and the filters deformed according to the affine transform. The problem of finding the affine transform is therefore reduced to that of finding the appropriate deformed filter to use. In the special case where the affine transform can be written as a scale change and an in-plane rotation, the Gaussian and first derivative equations are solved for the scale. The robustness of the method is demonstrated experimentally
Keywords
filtering theory; image sequences; image texture; 3-D structure; Gaussians; affine deformations; deformed filter; deformed patches; image deformation; image patches; observer; relative motion; robustness; rotation; scale; Cameras; Computer science; Equations; Filters; Gaussian processes; Navigation; Robot kinematics; Robot vision systems; Robustness; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.341158
Filename
341158
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