Shift-map Image Registration
(2010) Swedish Symposium on Image Analysis (SSBA) 2010- Abstract
- Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization utilizes $\alpha$-expansion moves and iterative refinement over a Gaussian pyramid. In this paper we extend the range of applications to image registration.
To do this, new data and smoothness terms have to be constructed. We note a great improvement when we measure pixel similarities with the dense \daisy\ descriptor. The main contributions of this paper are:
* The extension of the shift-map framework to include image registration. We register images for which \sift\ only provides 3 correct matches.
* The first publicly available implementation of shift-map image... (More) - Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization utilizes $\alpha$-expansion moves and iterative refinement over a Gaussian pyramid. In this paper we extend the range of applications to image registration.
To do this, new data and smoothness terms have to be constructed. We note a great improvement when we measure pixel similarities with the dense \daisy\ descriptor. The main contributions of this paper are:
* The extension of the shift-map framework to include image registration. We register images for which \sift\ only provides 3 correct matches.
* The first publicly available implementation of shift-map image processing (e.g. inpainting, registration).
We conclude by comparing shift-map registration to a recent method for optical flow with favorable results. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1554167
- author
- Svärm, Linus LU and Strandmark, Petter LU
- organization
- publishing date
- 2010
- type
- Contribution to conference
- publication status
- unpublished
- subject
- conference name
- Swedish Symposium on Image Analysis (SSBA) 2010
- conference location
- Uppsala, Sweden
- conference dates
- 2010-03-11 - 2010-03-12
- language
- English
- LU publication?
- yes
- id
- ae1d6e0a-c0f0-404d-aba1-2d19c854f704 (old id 1554167)
- date added to LUP
- 2016-04-04 14:09:53
- date last changed
- 2019-04-30 21:47:01
@misc{ae1d6e0a-c0f0-404d-aba1-2d19c854f704,
abstract = {{Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization utilizes $\alpha$-expansion moves and iterative refinement over a Gaussian pyramid. In this paper we extend the range of applications to image registration. <br/><br>
To do this, new data and smoothness terms have to be constructed. We note a great improvement when we measure pixel similarities with the dense \daisy\ descriptor. The main contributions of this paper are:<br/><br>
<br/><br>
* The extension of the shift-map framework to include image registration. We register images for which \sift\ only provides 3 correct matches.<br/><br>
<br/><br>
* The first publicly available implementation of shift-map image processing (e.g. inpainting, registration).<br/><br>
<br/><br>
We conclude by comparing shift-map registration to a recent method for optical flow with favorable results.}},
author = {{Svärm, Linus and Strandmark, Petter}},
language = {{eng}},
title = {{Shift-map Image Registration}},
url = {{https://lup.lub.lu.se/search/files/6295742/1554169.pdf}},
year = {{2010}},
}