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Zoltan Kato
Chercheur invité, University of Szeged, Hungary
 Contact :
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| Dernières publications dans le projet Ariana :
Markov Random Fields in Image Segmentation. Collection Foundation and Trends in Signal Processing.
Z. Kato et J. Zerubia. Publ. Now Editor, World Scientific, septembre 2012.
@BOOK{NowPublishers12,
|
| author |
= |
{Kato, Z. and Zerubia, J.}, |
| title |
= |
{Markov Random Fields in Image Segmentation. Collection Foundation and Trends in Signal Processing}, |
| year |
= |
{2012}, |
| month |
= |
{septembre}, |
| publisher |
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{Now Editor, World Scientific}, |
| url |
= |
{http://www.nowpublishers.com/articles/foundations-and-trends-in-signal-processing/SIG-035}, |
| keyword |
= |
{} |
| } |
A markov random field model for extracting near-circular shapes.
T. Blaskovics et Z. Kato et I. H. Jermyn. Dans Proc. IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, novembre 2009.
Mots-clés : Segmentation, Markov Random Fields, Shape prior.
@INPROCEEDINGS{Blaskovics09,
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| author |
= |
{Blaskovics, T. and Kato, Z. and Jermyn, I. H.}, |
| title |
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{A markov random field model for extracting near-circular shapes}, |
| year |
= |
{2009}, |
| month |
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{novembre}, |
| booktitle |
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{Proc. IEEE International Conference on Image Processing (ICIP)}, |
| address |
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{Cairo, Egypt}, |
| pdf |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5413472}, |
| keyword |
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{Segmentation, Markov Random Fields, Shape prior} |
| } |
Detection of Object Motion Regions in Aerial Image Pairs with a Multi-Layer Markovian Model.
C. Benedek et T. Szirányi et Z. Kato et J. Zerubia. IEEE Trans. Image Processing, 18(10): pages 2303-2315, octobre 2009.
Mots-clés : Change detection, Aerial images, Camera motion, MRF.
@ARTICLE{benedekTIP09,
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| author |
= |
{Benedek, C. and Szirányi, T. and Kato, Z. and Zerubia, J.}, |
| title |
= |
{Detection of Object Motion Regions in Aerial Image Pairs with a Multi-Layer Markovian Model}, |
| year |
= |
{2009}, |
| month |
= |
{octobre}, |
| journal |
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{IEEE Trans. Image Processing}, |
| volume |
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{18}, |
| number |
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{10}, |
| pages |
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{2303-2315}, |
| url |
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{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5089480}, |
| keyword |
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{Change detection, Aerial images, Camera motion, MRF} |
| } |
Abstract :
We propose a new Bayesian method for detecting the regions of object displacements in aerial image pairs. We use a robust but coarse 2-D image registration algorithm. Our main challenge is to eliminate the registration errors from the extracted change map. We introduce a three-layer Markov Random Field model which integrates information from two different features, and ensures connected homogeneous regions in the segmented images. Validation is given on real aerial photos. |
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Liste complète des publications dans le projet Ariana
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Rapport d'activité 2011
