Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134948" target="_blank" >RIV/00216305:26230/19:PU134948 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11975/" target="_blank" >https://www.fit.vut.cz/research/publication/11975/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24132/JWSCG.2019.27.1.2" target="_blank" >10.24132/JWSCG.2019.27.1.2</a>
Alternative languages
Result language
angličtina
Original language name
Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)
ISBN
978-80-86943-37-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
9-16
Publisher name
Union Agency
Place of publication
Plzeň
Event location
Plzeň
Event date
May 27, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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