Symmetry: Publications

Journals:
  1. Hruda, L., Kolingerová, I., Lávička, M., Maňák, M. Rotational symmetry detection in 3D using reflectional symmetry candidates and quaternion-based rotation parameterization. Comput. Aided Geom. Des., 2022, 98, 102138.
  2. Bayer, T., Kolingerová, I., Čelonk, M., Lysák, J. Simplification of Contour Lines, Based on Axial Splines, with High-quality Results. Int. J. Geogr. Inf. Sci., 2023, 37(7), 1520–1554.
  3. Bizzarri, M., Lávička, M., Vršek, J. Note on planar Pythagorean hodograph curves of Tschirnhaus type. Comput. Aided Geom. Des., 2021, 89, 102022.
  4. Lávička, M., Vršek, J. Polynomial curves with projections to PH curves. Computer Aided Geometric Design, 2022, 99, 102159.
  5. Bizzarri, M., Lávička, M., Vršek, J. Approximate symmetries of perturbed planar discrete curves. Comput. Aided Geom. Des., 2022, 96, 102115.
  6. Bizzarri, M., Lávička, M., Vršek, J. Symmetries of discrete curves and point clouds via trigonometric interpolation. J. Comput. Appl. Math., 2022, 408, 114124.
  7. M. Bizzari, L. Hruda, M. Lávička, J. Vršek, Symmetry group detection of point clouds in 3D via decomposition method. Comput. Aided Geom. Des., 2024, 113, 102376.
  8. J. Alcázar, M. Lávička, J. Vršek, Computing Symmetries of Implicit Algebraic Surfaces. Comput. Aided Geom. Des., 2023, 104, 102221.
  9. J. G. Alcázar, M. Lávička, J. Vršek, Symmetries of planar algebraic vector fields. Comput. Aided Geom. Des., 2024, 111, 102290.
  10. J. G. Alcázar, M. Bizzari, M. Lávička, J. Vršek, Rotational symmetries of 3D point clouds using the covariance matrix and higher order tensors. Appl. Math. Lett., 2025, 162, 109381.
  11. Žalik, B., Strnad, D., Kohek, Š., Kolingerová, I., Nerat, A., Lukač, N., Podgorelec, D. A Hierarchical Universal Algorithm for Geometric Objects’ Reflection Symmetry Detection. Symmetry, 2022, 14(5), 1060. [COBISS 108747523]
  12. Podgorelec, D., Lukač, L., Žalik, B. Reflection symmetry detection in Earth observation data. Sensors, 2023, 23(17), 7426. [COBISS 162734851]
  13. Jesenko, D., Hruda, L., Kolingerová, I., Žalik, B., Podgorelec, D. Symmetry-based Method for Water Level Prediction using Sentinel 2 Data. Sens. Transducers, 2022, 256(2), pp. 12-18. [COBISS 108164611]
  14. Kohek, Š., Lukač, N., Strnad, D., Kolingerová, I., Žalik, B. Data on annotated approximate bilaterally symmetric leaf-off trees based on particle flow simulation and predefined tree crown shape. Data Brief, 2022, 40, 107806. [COBISS 93681155]
  15. Strnad, D., Kohek, Š. Constrained Multi-Objective Optimization of Simulated Tree Pruning with Heterogeneous Criteria. Appl. Sci., 2021, 11(22), 10781. [COBISS 86459907]
  16. Kohek, Š., Žalik, B., Strnad, D., Kolmanič, S., Lukač, N. Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading. Int J Appl Earth Obs Geoinf, 2022, 111, 102844. [COBISS 110735107]
  17. Žalik, B., Strnad, D., Podgorelec, D., Kolingerová, I., Nerat, A., Lukač, N., Kohek, Š., Lukač, L. Geometric Shape Characterisation Based on a Multi-Sweeping Paradigm. Symmetry, 2023, 15(16), 1212. [COBISS 154973187]
  18. Podgorelec, D., Kolingerová, I., Lovenjak, L., Žalik, B. AHiLS—An algorithm for establishing hierarchy among detected weak local reflection symmetries in raster images. Symmetry, 2024, 16(4), 442. [COBISS 191759107]
Conferences:
  1. Hruda, L., Kolingerová, I., Podgorelec, D. Local reflectional symmetry detection in point clouds using a simple PCA-based shape descriptor. V: Sousa, A.A. (ed.). Proc. of the 18th Int. Joint Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 1, GRAPP: 19.-21. 2023, Lisbon, Portugal: SCITEPRESS, 2023. pp. 52-63. [COBISS 150030851]
  2. Maňák, M., Podgorelec, D. Kolingerová, I. Evaluation of approximate reflectional symmetry. VISIGRAP 2024 : Proc. of the 19th int. joint conf. on computer vision, imaging and computer graphics theory and applications, Rome, Italy. 2024, pp. 734-740. [COBISS 188795651]
  3. Safko, M., Lukač, L., Žalik, B., Kolingerová, I. Detection of local symmetry polylines of polygons based on sweeping paradigm. VISIGRAP 2024 : Proc. of the 19th int. joint conf. on computer vision, imaging and computer graphics theory and applications, Rome, Italy, 2024, pp. 329-336. [COBISS 188791811]
  4. Bizzarri, M., Lávička, M., Vršek, J. Curves of Tschirnhaus Type – Brief Commentary on Interpolations. V: Proc. of the Slovak-Czech Conf. on Geometry and Graphics 2021. Kočovce, Slovakia, 2021, pp. 45-52.
  5. Bizzari, M., Lávička, M., Vršek, J. Exact and approximate symmetries of discrete curves in plane. V: Proc. of the Czech-Slovak Conf. on Geometry and Graphics 2022, Olomouc, Czech Republic, 2022, pp. 55-62.
  6. Podgorelec, D., Lukač, L., Žalik, B. Local reflection symmetry detection in Earth observation data. Proc. Of the 25th Int. Middle-European Conf. on Applied Theoretical Comput Sci.: Inform. Society – IS 2022, Koper, 2022, vol. I, pp. 37-40. [COBISS 150040835]
  7. Jesenko, D., Hruda, L., Kolingerová, I., Žalik, B., Podgorelec, D. Detection of water levels in lake Cerknica using Sentinel-2 data and symmetry. Proc. of the 3rd Int. Conf. on Advances in Signal Processing and Artificial Intelligence, Porto, Portugal, 2021, pp. 65-69. [COBISS 86893059]
Patent:
  1. Žalik, B., Lipuš, B., Nerat, A., Jesenko, D., Podgorelec, D. Procedure for detecting the reflectional symmetry of geometrical objects : European patent specification EP 4 086 849 B1, 2024-07-24. Munich: European Patent Office, 2024. 16 pp. [COBISS 92048387]
Book chapter:
  1. Žalik, B., Podgorelec, D., Lukač, N., Rizman Žalik, K., Mongus, D. An Efficient Region Merging Algorithm in Raster Space. V: Shah, K., Carpentieri, B., Ali, A. (ed.). Qualitative and Computational Aspects of Dynamical Systems. London: IntechOpen, 2023, pp. 31-49. [COBISS 143676675]
Software:
  1. Pečnik, S., Brumen, M., Repnik, B., Vlahek, D., Mongus, D. Geographic Information System with Symmetry Detection Support, Based on GeMMA Fusion Suite. Maribor: UM FERI, 2023. https://github.com/Pecniks/SymmetryGIS. [COBISS 150145539].
  2. Žalik, B., Podgorelec, D., Nerat, A. An Algorithm for Estimating Global Reflection Symmetry Accelerated by the Divide and Conquer Strategy. Maribor: UM FERI, 2023. https://github.com/anerat1006/SymmetryDemo. [COBISS 150157059].
  3. Lukač, L., Podgorelec, D., Žalik, B. An Algorithm for Local Reflection Symmetry Detection in Earth Observation Data. Maribor: UM FERI, 2023. https://github.com/luckyLukac/ReflectionSymmetryDetection. [COBISS 150148355].
  4. Podgorelec, D., Lukač, L., Žalik, B. An Algorithm for Local Rotational Symmetry Detection in Earth Observation Data. Maribor: UM FERI, 2023. https://github.com/luckyLukac/RotationalSymmetryDetection. [COBISS 150153731].
  5. Lukač, L., Pečnik, S., Nerat, A., Žalik, B., Podgorelec, D. Application of the reflection symmetry detection for extracting railway tracks from LiDAR data. Maribor: UM FERI, 2023. https://github.com/luckyLukac/SymmetryRailwayDetection. [COBISS.SI-ID 174051075].
  6. Kohek, Š., Strnad, D. R package source code to calculate symmetry aware features of voxelized XYZ trees for trees species classification. 2024. http://github.com/StefanKohekUMFERI/SymVoxelizedTreesFeaturesR
  7. Lovenjak, L., Podgorelec, D., Žalik, B. An Algorithm for Determining Local Reflection Symmetries in Raster Images (Algoritem za določanje lokalnih zrcalnih simetrij v rastrskih slikah). Maribor: UM FERI, 2023. https://gemma.feri.um.si/projects/international-projects/generalized-symmetries-and-equivalences-of-geometric-data-si/software-si/. [COBISS 165131779].
  8. Nerat et al. Software for Prostate Cancer Analysis Based on Reflection Symmetry (Program za analizo raka prostate, temelječ na zrcalni simetriji). Maribor: UM FERI, 2024. [COBISS 208801283]

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