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Publications ~ T. Szirányi Friday, March 29th 2024, 02:19

Publications of T. Szirányi

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3 Articles
1 - Detection of Object Motion Regions in Aerial Image Pairs with a Multi-Layer Markovian Model.
C. Benedek and T. Szirányi and Z. Kato and J. Zerubia. IEEE Trans. Image Processing, 18(10): pages 2303-2315, October 2009.
Keywords : Change detection, Aerial images, Camera motion, MRF.
2 - Change Detection in Optical Aerial Images by a Multi-Layer Conditional Mixed Markov Model.
C. Benedek and T. Szirányi. IEEE Trans. Geoscience and Remote Sensing, 47(10): pages 3416-3430, October 2009.
Keywords : mixed Markov models, Change detection, Aerial images, MAP estimation.
Copyright : IEEE
3 - Image segmentation using Markov random field model in fully parallel cellular network architectures.
T. Szirányi and J. Zerubia and L. Czúni and D. Geldreich and Z. Kato. Real Time Imaging, 6(3): pages 195-211, June 2000.

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3 Conference articles
1 - Graph-based Analysis of Textured Images for Hierarchical Segmentation.
R. Gaetano and G. Scarpa and T. Sziranyi. In Proc. British Machine Vision Conference (BMVC), Aberystwyth, UK, August 2010.
2 - A Mixed Markov Model for Change Detection in Aerial Photos with Large Time Differences.
C. Benedek and T. Szirányi. In Proc. International Conference on Pattern Recognition (ICPR), Tampa, USA, December 2008.
Keywords : Aerial images, Change detection, mixed Markov models.
3 - A Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs.
C. Benedek and T. Szirányi and Z. Kato and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Vol. 6, pages 141--144, San Antonio, Texas, USA, September 2007.
Keywords : Change detection, Aerial images, Camera motion, MRF.
Copyright : Copyright IEEE

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Technical and Research Report
1 - A Three-layer MRF model for Object Motion Detection in Airborne Images.
C. Benedek and T. Szirányi and Z. Kato and J. Zerubia. Research Report 6208, INRIA, June 2007.
Keywords : Aerial images, Change detection, Camera motion, MRF.

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