| Title | Shift-map Image Registration |
| Authors | Linus Svärm, Petter Strandmark |
| Full-text | Available as PDF |
| Year | 2010 |
| Document type | Conference paper |
| Conference name | Swedish Symposium on Image Analysis (SSBA) |
| Conference Date | 2010-03-11 |
| Conference Location | Uppsala, Sweden |
| Status | Unpublished |
| Language | eng |
| Abstract English | 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> 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> * The extension of the shift-map framework to include image registration. We register images for which \sift\ only provides 3 correct matches.<br> <br> * The first publicly available implementation of shift-map image processing (e.g. inpainting, registration).<br> <br> We conclude by comparing shift-map registration to a recent method for optical flow with favorable results. |
Questions: webmaster
Last update: 2013-04-11
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)