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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Delong, A. Osokin, A. Isack, H.N. Boykov, Y. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science, University of Western Ontario (Delong, A.; Isack, H.N.; Boykov, Y.) || Department of Computational Mathematics and Cybernetics, Moscow State University (Osokin, A.) |
| Abstract | The α-expansion algorithm [4] has had a significant impact in computer vision due to its generality, effectiveness, and speed. Thus far it can only minimize energies that involve unary, pairwise, and specialized higher-order terms. Our main contribution is to extend α-expansion so that it can simultaneously optimize “label costs” as well. An energy with label costs can penalize a solution based on the set of labels that appear in it. The simplest special case is to penalize the number of labels in the solution. Our energy is quite general, and we prove optimality bounds for our algorithm. A natural application of label costs is multi-model fitting, and we demonstrate several such applications in vision: homography detection, motion segmentation, and unsupervised image segmentation. Our C++/MATLAB implementation is publicly available. |
| Starting Page | 2173 |
| Ending Page | 2180 |
| File Size | 6413726 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469840 |
| ISSN | 10636919 |
| e-ISBN | 9781424469857 |
| DOI | 10.1109/CVPR.2010.5539897 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision Cost function Labeling Motion segmentation Minimization methods Computer science Mathematics Cybernetics Motion detection Image segmentation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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