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Publikációk típus szerint

Kato Z, Zerubia J. Markov random fields in image segmentation. Hanover, NH: Now Publishers; 2012.
Kato Z, Czúni L. Számítógépes látás. Budapest: Typotex Kiadó; 2011.
MIPPR 2009: Multispectral Image Acquisition and Processing. Vol 7494. Udupa JK, Sang N, Nyúl LGábor, Tong H, editors. Bellingham; Washington: SPIE; 2009.
Herman GT, Kuba A. Advances in Discrete Tomography and Its Applications. Birkhauser; 2007.
Tanacs A, Majdik A, Hajder L, Molnar J, Santa Z, Kato Z. Collaborative Mobile 3D Reconstruction of Urban Scenes. In: Chen C-S, Kankanhall M, Lai S-H, Hwee J, editors. Proceedings of the ACCV Workshop on Intelligent Mobile and Egocentric Vision (ACCV-IMEV), Lecture Notes in Computer Science. Singapore: Springer; 2015. 1. p. 1-16p.
Palágyi K, Németh G, Kardos P. Equivalent Sequential and Parallel Subiteration-Based Surface-Thinning Algorithms. In: Barneva RP, Bhattacharya B.B, Brimkov VE, editors. Proceedings of Combinatorial Image Analysis: 17th International Workshop, IWCIA 2015. Vol 9448. Calcutta, India: Springer; 2015. 3. p. 31-45p. (Lecture Notes in Computer Science; vol 9448).
Hantos N, Balázs P. Fast Heuristics for Eliminating Switching Components in Binary Matrices by 0-1 Flips. In: Bayro-Corrochano E., Hancock E., editors. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 19th Iberoamerican Congress (CIARP). Puerto Vallarta, Mexico: Springer; 2014. 6. p. 62-69p. (LNCS).
Palágyi K. Equivalent 2D sequential and parallel thinning. In: Barneva RP, Brimkov V E, Šlapal J, editors. Combinatorial Image Analysis. Brno, Czech Republic: Springer ; 2014. 9. p. 91-100p.
Grósz T, Bodnár P, Tóth L, Nyúl LG. QR code localization using deep neural networks. In: Mamadou M, Tülay A, Moreau E, Larsen J, Guelton K, editors. International Workshop on Machine Learning for Signal Processing. Sep 2014, Reims, France: IEEE; 2014.
Molnar J, Huang R, Kato Z. 3D Reconstruction of Planar Surface Patches: A Direct Solution. In: Zhang J, Bennamoun M, Porikli F, editors. Proceedings of the ACCV Workshop on Big Data in 3D Computer Vision (ACCV-BigData3DCV). Singapore, Szingapúr: Springer; 2014. 1. p. 1-8p. .

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