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KOBRTEK, J.; MILET, T.; HEROUT, A.
Originální název
Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
In this paper we present a novel approach for accelerated silhouette computation based on potentially visible sets stored in the octree acceleration structure. Scene space, where the light source can appear, is subdivided into voxels. The octree voxels contain two precomputed sets of edges that potentially or always belong to the silhouette. We also propose a novel method of octree compression for reduction of the memory footprint of the resulting acceleration structure. Using our novel technique we were able to considerably decrease the silhouette computational complexity and reduce its sensitivity to the number of edges.
Anglický abstrakt
Klíčová slova
Silhouette Extraction, Octree, Compression, Shadow Volumes
Klíčová slova v angličtině
Autoři
Rok RIV
2020
Vydáno
27.05.2019
Nakladatel
Union Agency
Místo
Plzeň
ISBN
978-80-86943-37-4
Kniha
International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)
Strany od
9
Strany do
16
Strany počet
8
URL
https://www.fit.vut.cz/research/publication/11975/
BibTex
@inproceedings{BUT161448, author="Jozef {Kobrtek} and Tomáš {Milet} and Adam {Herout}", title="Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets", booktitle="International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)", year="2019", pages="9--16", publisher="Union Agency", address="Plzeň", doi="10.24132/JWSCG.2019.27.1.2", isbn="978-80-86943-37-4", url="https://www.fit.vut.cz/research/publication/11975/" }
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