SEAMLESS TEXTURED SPHERE SYNTHESIS METHOD FOR VISUALIZATION IN GEO-INFORMATION AND MAPPING SYSTEMS
DOI:
https://doi.org/10.26906/SUNZ.2023.4.012Keywords:
tessellation, equal-area subdivision, GPU, MIP levels, realistic visual scenes, texturingAbstract
The method of creating a seamless textured sphere model and removing artifacts associated with the issues of calculating texture coordinates during cylindrical projection is considered. The purpose of the article is to develop a method for synthesis and visualizing spherical textured objects that would not have the disadvantages of existing methods, which are associated with the appearance of visually noticeable visual artifacts related with the textures applied to the sphere surface. A method is given that allows you to correct texture coordinates both at the geometric level and in the process of visualization, in which the sphere is conventionally divided into parts according to the distance from the poles. For each part, the most optimal texturing algorithm is used, which ensures the performance of the method. Calculations using the proposed algorithms can be fully implemented at the cost of GPU resources. Based on the results of the study, was determined that the proposed method allows removing artifacts that occur when calculating texture coordinates for cylindrical projection both directly in the visualization process and at the stage of synthesis of the sphere model, which allows to significantly improve the quality of the appearance of the sphere surface.Downloads
References
Snyder, J. P. (1997). Flattening the Earth. Two Thousand Years of Map Projections. Chicago and London: University of Chicago Press. 384 p. ISBN: 9780226767475
Orsolya Gáspár. The optimization process leading to the tessellation of the first geodesic dome structure, the first Planetarium of Jena. International Journal of Space Structures 2022, Vol. 37(1) 49–64. DOI: 10.1177/09560599211064110
Catmull, E.; Clark, J. (1978). Recursively generated B-spline surfaces on arbitrary topological meshes. Computer-Aided Design. 10 (6): 350. DOI:10.1016/0010-4485(78)90110-0.
Edward S. Popko, Christopher J. Kitrick. Divided Spheres: Geodesics and the Orderly Subdivision of the Sphere. CRC Press, 2021. 484 pages. ISBN 1000412431, 9781000412437
Henrik Hargitai, Jue Wang, Philip J. Stooke et al. Choosing a Map Projection. Chapter 7. Map Projections in Planetary Cartography. April 2017. pp.177-202. DOI: 10.1007/978-3-319-51835-0_7
Goldberg, David M.; Gott III, J. Richard (2007). Flexion and Skewness in Map Projections of the Earth. Cartographica. 42 (4): 297–318. arXiv:astro-ph/0608501. DOI:10.3138/carto.42.4.297.
Adrian Dziembowski, Dawid Mieloch, Olgierd Stankiewicz et al. Virtual View Synthesis for 3DoF+ Video. 2019 Picture Coding Symposium (PCS). November 2019. DOI: 10.1109/PCS48520.2019.8954502
Olga Lukashova-Sanz, Siegfried Wahl. Saliency-Aware Subtle Augmentation Improves Human Visual Search Performance in VR. February 2021. Brain Sciences 11(3):283. DOI: 10.3390/brainsci11030283
Marco Tarini. Cylindrical and Toroidal Parameterizations Without Vertex Seams. Journal of Graphics Tools. 2012 Vol.16(3). pp. 144-150. DOI:10.1080/2151237X.2012.654054
Ben Golus. Distinctive Derivative Differences. Pesky Problems with Procedural UVs. [Електронний ресурс] URL: https://bgolus.medium.com/distinctive-derivative-differences-cce38d36797b.
