| Title | MDL Patch Correspondences on Unlabeled Images |
| Authors | Johan Karlsson, Karl Åström |
| Publication | 19th International Conference on Pattern Recognition, vols 1-6 |
| Year | 2008 |
| Pages | 3249 - 3253 |
| Document type | Conference paper |
| Conference name | International Conference on Pattern Recognition |
| Conference Date | Dec 08-11, 2008 |
| Conference Location | Tampa, FL, United States |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE Press |
| Abstract English | Automatic construction of Shape and Appearance Models from examples <br> via establishing correspondences across the training set has been successful in the last decades.<br> One successful measure for establishing correspondences of high quality is minimum description length (MDL).<br> In other approaches it has been shown that parts+geometry models which model the appearance of parts of the object and the geometric relation between the parts<br> have been successful for automatic model building.<br> In this paper it is shown how to fuse the above approaches and use MDL to<br> fully automatically build optimal parts+geometry models from unlabeled <br> images. |
| ISBN/ISSN/Other | ISSN: 1051-4651 ISBN: 978-1-4244-2174-9 |
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