Publication detail
Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets
KOBRTEK, J. MILET, T. HEROUT, A.
Original Title
Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets
English Title
Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets
Type
conference paper
Language
en
Original Abstract
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.
English abstract
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.
Keywords
Silhouette Extraction, Octree, Compression, Shadow Volumes
Released
27.05.2019
Publisher
Union Agency
Location
Plzeň
ISBN
978-80-86943-37-4
Book
International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)
Edition
NEUVEDEN
Edition number
NEUVEDEN
Pages from
9
Pages to
16
Pages count
8
URL
Documents
BibTex
@inproceedings{BUT161448,
author="Jozef {Kobrtek} and Tomáš {Milet} and Adam {Herout}",
title="Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets",
annote="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.",
address="Union Agency",
booktitle="International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)",
chapter="161448",
doi="10.24132/JWSCG.2019.27.1.2",
edition="NEUVEDEN",
howpublished="online",
institution="Union Agency",
year="2019",
month="may",
pages="9--16",
publisher="Union Agency",
type="conference paper"
}