| Title | Shift-map Image Registration |
| Authors | Linus Svärm, Petter Strandmark |
| Full-text | Available as PDF |
| Year | 2010 |
| Document type | Conference paper |
| Conference name | International Conference on Pattern Recognition (ICPR) 2010 |
| Conference Date | 2010-08-23/2010-08-26 |
| Conference Location | Istanbul, Turkey |
| Status | Inpress |
| Quality controlled | Yes |
| Language | eng |
| Abstract English | Shift-map image processing is a new framework<br> based on energy minimization over a large space of<br> labels. The optimization utilizes -expansion moves<br> and iterative refinement over a Gaussian pyramid. In<br> this paper we extend the range of applications to image<br> registration. To do this, new data and smoothness<br> terms have to be constructed. We note a great improvement<br> when we measure pixel similarities with the dense<br> DAISY descriptor. The main contributions of this paper<br> are:<br> • The extension of the shift-map framework to include<br> image registration. We register images for<br> which SIFT only provides 3 correct matches.<br> • A publicly available implementation of shift-map<br> image processing (e.g. inpainting, registration).<br> We conclude by comparing shift-map registration to a<br> recent method for optical flow with favorable results. |
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