Spatio-Temporal Hierarchical Data Structure Based on Sparse Voxel Octrees for Representation of the Geometry of Time-Variable Three-Dimensional Scenes

[1] CHANG, H. K. ‒ LIU, S.-H. ‒ TSO, C.-K.: Two-Dimensional Template-Based Encoding for Linear Quadtree Representation. Photogrammetric Engineering and Remote Sensing, Vol. 63, 1997, No. 11, pp. 1275–1282. Search in Google Scholar

[2] MEAGHER, D. J. R.: Octree Encoding: A New Technique for the Representation, Manipulation, and Display of Arbitrary 3-D Objects by Computer. Technical Report No. IPL-TR-80-111. Rensselaer Polytechnic Institute, Troy, NY, 1980. Search in Google Scholar

[3] MEAGHER, D. J. R.: Geometric Modeling Using Octree Encoding. Computer Graphics and Image Processing, Vol. 19, 1982, No. 2, pp. 129–147, doi: 10.1016/0146-664X(82)90104-6. Search in Google Scholar

[4] MEAGHER, D. J. R.: The Octree Encoding Method for Efficient Solid Modeling. Technical Report IPLTR-032, Image Processing Laboratory, Rensselaer Polytechnic Institute, Troy, New York, 1982. Search in Google Scholar

[5] KÄMPE, V. ‒ SINTORN, E. ‒ASSARSON, U.: High Resolution Sparse Voxel DAGs, ACM ToG, 2013, 32, pp. 1‒13, ISSN 0730-0301, https://doi.org/10.1145/2461912.2462024 Search in Google Scholar

[6] CAREIL, V. ‒ BILLETER, M. ‒ EISEMANN, E.: Interactively Modifying Compressed Sparse Voxel Representations. In {\em Computer Graphics Forum}, {\bf 2020}, {\em 39}, pp. 111‒119. ISSN 0167-7055. https://doi.org/10.1111/cgf.13916 Search in Google Scholar

[7] BAERT, J. ‒ LAGAE, A. ‒ DUTRÉ, Ph.: Out-of-Core Construction of Sparse Voxel Octrees. In Proceedings of the 5th High-Performance Graphics Conference (HPG ’13), Anaheim, CA, USA, 19‒21 July, 2013, pp. 27‒32. https://doi.org/10.1145/2492045.2492048 Search in Google Scholar

[8] BAERT, J. ‒ LAGAE, A. ‒ DUTRÉ, Ph.: Out-of-Core Construction of Sparse Voxel Octrees, Computer Graphics Forum, 2014, 33, pp. 220‒227, ISSN 0167-7055, https://doi.org/10.1111/cgf.12345 Search in Google Scholar

[9] PATZOLD, M. ‒ KOLB, A.: Grid-free out-of-core voxelization to sparse voxel octrees on GPU. In Proceedings of the 7th Conference on High-Performance Graphics (HPG ‘15), LA, CA, USA, 7--9 August 2015, pp. 95‒103. ISBN 9781450337076, https://doi.org/10.1145/2790060.2790067 Search in Google Scholar

[10] MADOŠ, B. ‒ CHOVANCOVÁ, E. ‒ CHOVANEC, M. ‒ ÁDÁM, N.: CSVO: Clustered Sparse Voxel Octrees‒A Hierarchical Data Structure for Geometry Representation of Voxelized 3D Scenes. Symmetry 2022, 14, 2114. https://doi.org/10.3390/sym14102114 Search in Google Scholar

[11] VILLANUEVA, A.J. ‒ MARTON, F. ‒ GOBETTI, E.: Symmetry-aware Sparse Voxel DAGs. In Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D ’16), Redmond, WA, USA, 27‒28 February, 2016; pp. 7‒14. ISBN 978-1-4503-4043-4. https://doi.org/10.1145/2856400.2856420 Search in Google Scholar

[12] VILLANUEVA, A. J. ‒ MARTON, F.: GOBETTI, E.: Symmetry-aware Sparse Voxel DAGs (SSVDAGs) for compression-domain tracing of high-resolution geometric scene. J. Comput. Graph. Tech., (JCGT), 2017}, 6, pp. 30, http://jcgt.org/published/0006/02/01 Search in Google Scholar

[13] VOKOROKOS, L. ‒ MADOŠ, B. ‒ BILANOVÁ, Z.: PSVDAG: Compact Voxelized Representation of 3D Scenes Using Pointerless Sparse Voxel Directed Acyclic Graphs, Computing and Informatics, 2020, 39, pp. 587-616, ISSN 1335-9150 (print); 2585-8807 (online), https://doi.org/10.31577/cai\_2020\_3\_587 Search in Google Scholar

[14] MADOŠ, B. ‒ ÁDÁM, N.: Transforming Hierarchical Data Structures---A PSVDAG---SVDAG Conversion Algorithm, Acta Polytechnica Hungarica, 2021, 18, pp.47-66, ISSN 1785-8860, https://doi.org/10.12700/APH.18.8.2021.8.3 Search in Google Scholar