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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hajdu, A. Veres, P. Tanacs, A. Harangozo, R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Faculty of Informatics, University of Debrecen, 4010, POB 12, Hungary (Hajdu, A.; Veres, P.) || Institute of Informatics, University of Szeged, 6720, Árpád sq. 2., Hungary (Tanacs, A.) || Kripto Kft., 4029 Debrecen, Hungary (Harangozo, R.) |
| Abstract | We investigate object simplification methods based on Centroidal Voronoi Tesselation (CVT) that share the possibility of great speed-ups in various scenarios. We propose Constrained CVT to sample points from the object boundary and the Region-based CVT to be able to subsample lower dimensional objects, as well. Moreover we introduce custom weight functions based on object properties. Thus, we can be more specific on what are the important parts of the subsampled object. We also list several novel applications corresponding to the theoretical achivements presented. The advantages of applying the subsampling strategies are presented for registration, human detection, and the segmentation of the retinal vascular system, respectively. Quantitative results are shown to check the deterioration of the accuracy with the level of subsampling, and the computational gain. We also make comparisons with other naive (e.g. random) subsampling methods. |
| Starting Page | 438 |
| Ending Page | 443 |
| File Size | 802732 |
| Page Count | 6 |
| File Format | |
| ISBN | 9789531841351 |
| ISSN | 18455921 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-16 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clouds Informatics Humans Retina Object detection Performance gain Solids Image processing Diabetes Retinopathy |
| Content Type | Text |
| Resource Type | Article |
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