Detail publikace

Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets

KOBRTEK, J. MILET, T. HEROUT, A.

Originální název

Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

Silhouette Extraction, Octree, Compression, Shadow Volumes

Autoři

KOBRTEK, J.; MILET, T.; HEROUT, A.

Vydáno

27. 5. 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/"
}