A. R. Várkonyi-Kóczy, B. Tusor, J. T. Tóth: A Fuzzy Data Structure for Variable Length Data and Missing Value Classification. In Recent Advances in Technology Research and Education (Advances in Intelligent Systems and Computing 660). Cham, CH : Springer, pp. 297-304, 2018. ISSN 2194-5357 link Abstract: Variable length data classification is an important field of [...]
R. Frohlich, S. Gubo, A. Lévai, Z. Kato: 3D-2D Data Fusion in Cultural Heritage Applications. In Heritage Preservation – A Computational Approach. Cham, CH : Springer, pp. 111-130, 2018. ISBN 978-981-10-7220-8 link Abstract: We propose a workflow for cultural heritage applications where the fusion of 3D and 2D visual data is required. Using a metric [...]
B. Tusor, A. R. Várkonyi-Kóczy, J. Bukor: A Parallel Fuzzy Filter Network for Pattern Recognition. In Recent Advances in Technology Research and Education (Lecture Notes in Networks and Systems 53). Cham, CH : Springer, pp. 275-282, 2019. ISSN 2367-3370 link Abstract: Nowadays, parallelization is an increasingly popular tool to speed up algorithms. Data classification is [...]
A. R. Várkonyi-Kóczy, B. Tusor, J. T. Tóth: A Fuzzy Shape Extraction Method. In Recent Developments and the New Direction in Soft-Computing Foundations and Applications (Studies in Fuzziness and Soft Computing 361). Cham, CH : Springer, pp. 383-395, 2018. ISSN 1434-9922 link Abstract: This chapter presents an easily implementable method of fuzzy shape extraction for [...]
L. Körmöczi, Z. Kató: Filling Missing Parts of a 3D Mesh by Fusion of Incomplete 3D Data. In Advanced Concepts for Intelligent Vision Systems (Lecture Notes in Computer Science 10617). Cham, CH : Springer, pp. 711-722, 2017. ISSN 0302-9743 link Abstract: This paper deals with the problem of fusing different (potentially partial) 3D meshes to [...]
N. Horanyi, Z. Kató: Generalized Pose Estimation from Line Correspondences with Known Vertical Direction. In Proceedings of International Conference on 3D Vision (3DV 2017), IEEE, pp. 1-11, 2017. ISBN 978-1-5386-2611-5 link Abstract: We propose a novel method to compute the absolute pose of a generalized camera based on straight lines, which are common in urban [...]
N. Horanyi, Z. Kató: Multiview Absolute Pose Using 3D-2D Perspective Line Correspondences and Vertical Direction. In Proceedings of ICCV Workshop on Multiview Relationships in 3D Data (ICCVW-MVR3D), IEEE, pp. 2472-2480, 2017. ISBN 978-1-5386-1034-3 link Abstract: In this paper, we address the problem of estimating the absolute pose of a multiview calibrated perspective camera system from [...]
R. Frohlich, Z. Kató, A. Tremeau, L. Tamás, S. Shabo, Y. Waksman: Region based fusion of 3D and 2D visual data for Cultural Heritage objects. In Proceedings of the International Conference on Pattern Recognition (ICPR 2017), IEEE, pp. 2405-2409, 2017. ISBN 978-1-5090-4848-9 link Abstract: A workflow is proposed for Cultural Heritage applications in which the [...]
S. Szénási: Analysis of historical road accident data supporting autonomous vehicle control strategies. PeerJ Computer Science vol. 7, pp. 1-25, 2021. ISSN 2376-5992 link Abstract: It is expected that most accidents occurring due to human mistakes will be eliminated by autonomous vehicles. Their control is based on real-time data obtained from the various sensors, processed by [...]
A. Benhamida, A. R. Várkonyi-Kóczy, M. Kozlovszky: Traffic Signs Recognition in a mobile-based application using TensorFlow and Transfer Learning Technics. In Proceedings of the IEEE 15th International Conference of System of Systems Engineering (SoSE 2020). IEEE, pp. 537-541, 2020. ISBN 978-1-7281-8050-2 link Abstract: Nowadays, Machine Learning applications are spreading widely in different science and research [...]