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Reflection symmetry detection in earth observation data [Elektronski vir]Podgorelec, David ; Lukač, Luka, računalničar ; Žalik, BorutThe paper presents a new algorithm for reflection symmetry detection, which is specialized to detect maximal symmetric patterns in an Earth observation (EO) dataset. First, we stress the ... particularities that make symmetry detection in EO data different from detection in other geometric sets. The EO data acquisition cannot provide exact pairs of symmetric elements and, therefore, the approximate symmetry must be addressed, which is accomplished by voxelization. Besides this, the EO data symmetric patterns in the top view usually contain the most useful information for further processing and, thus, it suffices to detect symmetries with vertical symmetry planes. The algorithm first extracts the so-called interesting voxels and then finds symmetric pairs of line segments, separately for each horizontal voxel slice. The results with the same symmetry plane are then merged, first in individual slices and then through all the slices. The detected maximal symmetric patterns represent the so-called partial symmetries, which can be further processed to identify global and local symmetries. LiDAR datasets of six urban and natural attractions in Slovenia of different scales and in different voxel resolutions were analyzed in this paper, demonstrating high detection speed and quality of solutions.Source: Sensors [Elektronski vir]. - ISSN 1424-8220 (Vol. 23, iss. 17, [Article no.] 7426, Avg. 2023, 17 str.)Type of material - e-article ; adult, seriousPublish date - 2023Language - englishCOBISS.SI-ID - 162734851
Author
Podgorelec, David |
Lukač, Luka, računalničar |
Žalik, Borut
Topics
računalništvo |
simetrija |
voksel |
computer science |
approximate symmetry |
partial symmetry |
local symmetry |
point cloud |
voxel |
line segment
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Author | Podgorelec, David ; Lukač, Luka, računalničar ; Žalik, Borut |
Title | Reflection symmetry detection in earth observation data [Elektronski vir] |
Publication date | 2023-08-25 |
COBISS.SI-ID | 162734851 |
Publication version in repository | Publisher's version |
Publication licence | Creative Commons Attribution 4.0 International |
Embargo | Immediate publication for public |
Project(s) from which the publication was funded
Title | Acronym | Project ID | Funder |
---|---|---|---|
Posplošene simetrije in ekvivalence v geometrijskih podatkih | N2-0181-2021 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
|
Računalniški sistemi, metodologije in inteligentne storitve | P2-0041-2020 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
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Podgorelec, David | 15671 |
Lukač, Luka, računalničar | ![]() |
Žalik, Borut | 06671 |
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