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
Link To Document :
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