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Estimating the affine transformation between textures

Abstract:
A method is presented that solves the affine transformation between two images of the same texture. This problem is encountered in many areas of Computer Vision such as object retexturing and it is an essential part of many Shape-from-Texture algorithms. The new method is based on transforming each image such that the texture is isotropic, then solving the similarity transformation between the isotropic versions. We point out the difficulties in using other methods such as feature point methods. Quantitative results are given for images created with the Brodatz textures, followed by results for real images. This is followed by an application of the method: placing an object on the textured surface.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/dicta.2005.33

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573


Publisher:
IEEE
Host title:
Digital Image Computing: Techniques and Applications (DICTA'05)
Pages:
67-67
Publication date:
2006-10-16
Event title:
8th International Conference on Digital Image Computing: Techniques and Applications (DICTA'05)
Event location:
Cairns, Queensland, Australia
Event website:
https://dblp.org/db/conf/dicta/index.html
Event start date:
2005-12-06
Event end date:
2005-12-08
DOI:
ISBN:
0769524672


Language:
English
Pubs id:
1770562
Local pid:
pubs:1770562
Deposit date:
2024-07-24

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