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Martin Weier, André Hinkenjann, Georg Demme, and Philipp Slusallek, Generating and Rendering Large Scale Tiled Plant Populations. JVRB - Journal of Virtual Reality and Broadcasting, 10(2013), no. 1. (urn:nbn:de:0009-6-36322)

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%0 Journal Article
%T Generating and Rendering Large Scale Tiled Plant Populations
%A Weier, Martin
%A Hinkenjann, André
%A Demme, Georg
%A Slusallek, Philipp
%J JVRB - Journal of Virtual Reality and Broadcasting
%D 2013
%V 10(2013)
%N 1
%@ 1860-2037
%F weier2013
%X Generating and visualizing large areas of vegetation that look natural makes terrain surfaces much more realistic. However, this is a challenging field in computer graphics, because ecological systems are complex and visually appealing plant models are geometrically detailed. This work presents Silva (System for the Instantiation of Large Vegetated Areas), a system to generate and visualize large vegetated areas based on the ecological surrounding. Silva generates vegetation on Wang-tiles with associated reusable distributions enabling multi-level instantiation.This paper presents a method to generate Poisson Disc Distributions (PDDs) with variable radii on Wang-tile sets (without a global optimization) that is able to generate seamless tilings. Because Silva has a freely configurable generation pipeline and can consider plant neighborhoods it is able to incorporate arbitrary abiotic and biotic components during generation. Based on multi-levelinstancing and nested kd-trees, the distributions on the Wang-tiles allow their acceleration structures to be reused during visualization. This enables Silva to visualize large vegetated areas of several hundred square kilometers with low render times and a small memory footprint.
%L 004
%K Ecosystem simulation
%K Instantiation
%K Poisson Disc Distribution
%K Ray Tracing
%K Terrain rendering
%K Wang-tiles
%R 10.20385/1860-2037/10.2013.1
%U http://nbn-resolving.de/urn:nbn:de:0009-6-36322
%U http://dx.doi.org/10.20385/1860-2037/10.2013.1
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@Article{weier2013,
  author = 	"Weier, Martin
		and Hinkenjann, Andr{\'e}
		and Demme, Georg
		and Slusallek, Philipp",
  title = 	"Generating and Rendering Large Scale Tiled Plant Populations",
  journal = 	"JVRB - Journal of Virtual Reality and Broadcasting",
  year = 	"2013",
  volume = 	"10(2013)",
  number = 	"1",
  keywords = 	"Ecosystem simulation; Instantiation; Poisson Disc Distribution; Ray Tracing; Terrain rendering; Wang-tiles",
  abstract = 	"Generating and visualizing large areas of vegetation that look natural makes terrain surfaces much more realistic. However, this is a challenging field in computer graphics, because ecological systems are complex and visually appealing plant models are geometrically detailed. This work presents Silva (System for the Instantiation of Large Vegetated Areas), a system to generate and visualize large vegetated areas based on the ecological surrounding. Silva generates vegetation on Wang-tiles with associated reusable distributions enabling multi-level instantiation.This paper presents a method to generate Poisson Disc Distributions (PDDs) with variable radii on Wang-tile sets (without a global optimization) that is able to generate seamless tilings. Because Silva has a freely configurable generation pipeline and can consider plant neighborhoods it is able to incorporate arbitrary abiotic and biotic components during generation. Based on multi-levelinstancing and nested kd-trees, the distributions on the Wang-tiles allow their acceleration structures to be reused during visualization. This enables Silva to visualize large vegetated areas of several hundred square kilometers with low render times and a small memory footprint.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/10.2013.1",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-36322"
}
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RIS

TY  - JOUR
AU  - Weier, Martin
AU  - Hinkenjann, André
AU  - Demme, Georg
AU  - Slusallek, Philipp
PY  - 2013
DA  - 2013//
TI  - Generating and Rendering Large Scale Tiled Plant Populations
JO  - JVRB - Journal of Virtual Reality and Broadcasting
VL  - 10(2013)
IS  - 1
KW  - Ecosystem simulation
KW  - Instantiation
KW  - Poisson Disc Distribution
KW  - Ray Tracing
KW  - Terrain rendering
KW  - Wang-tiles
AB  - Generating and visualizing large areas of vegetation that look natural makes terrain surfaces much more realistic. However, this is a challenging field in computer graphics, because ecological systems are complex and visually appealing plant models are geometrically detailed. This work presents Silva (System for the Instantiation of Large Vegetated Areas), a system to generate and visualize large vegetated areas based on the ecological surrounding. Silva generates vegetation on Wang-tiles with associated reusable distributions enabling multi-level instantiation.This paper presents a method to generate Poisson Disc Distributions (PDDs) with variable radii on Wang-tile sets (without a global optimization) that is able to generate seamless tilings. Because Silva has a freely configurable generation pipeline and can consider plant neighborhoods it is able to incorporate arbitrary abiotic and biotic components during generation. Based on multi-levelinstancing and nested kd-trees, the distributions on the Wang-tiles allow their acceleration structures to be reused during visualization. This enables Silva to visualize large vegetated areas of several hundred square kilometers with low render times and a small memory footprint.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-36322
DO  - 10.20385/1860-2037/10.2013.1
ID  - weier2013
ER  -
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Wordbib

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ISI

PT Journal
AU Weier, M
   Hinkenjann, A
   Demme, G
   Slusallek, P
TI Generating and Rendering Large Scale Tiled Plant Populations
SO JVRB - Journal of Virtual Reality and Broadcasting
PY 2013
VL 10(2013)
IS 1
DI 10.20385/1860-2037/10.2013.1
DE Ecosystem simulation; Instantiation; Poisson Disc Distribution; Ray Tracing; Terrain rendering; Wang-tiles
AB Generating and visualizing large areas of vegetation that look natural makes terrain surfaces much more realistic. However, this is a challenging field in computer graphics, because ecological systems are complex and visually appealing plant models are geometrically detailed. This work presents Silva (System for the Instantiation of Large Vegetated Areas), a system to generate and visualize large vegetated areas based on the ecological surrounding. Silva generates vegetation on Wang-tiles with associated reusable distributions enabling multi-level instantiation.This paper presents a method to generate Poisson Disc Distributions (PDDs) with variable radii on Wang-tile sets (without a global optimization) that is able to generate seamless tilings. Because Silva has a freely configurable generation pipeline and can consider plant neighborhoods it is able to incorporate arbitrary abiotic and biotic components during generation. Based on multi-levelinstancing and nested kd-trees, the distributions on the Wang-tiles allow their acceleration structures to be reused during visualization. This enables Silva to visualize large vegetated areas of several hundred square kilometers with low render times and a small memory footprint.
ER
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Mods

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    <title>Generating and Rendering Large Scale Tiled Plant Populations</title>
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  <abstract>Generating and visualizing large areas of vegetation that look natural makes terrain surfaces much more realistic. However, this is a challenging field in computer graphics, because ecological systems are complex and visually appealing plant models are geometrically detailed. This work presents Silva (System for the Instantiation of Large Vegetated Areas), a system to generate and visualize large vegetated areas based on the ecological surrounding. Silva generates vegetation on Wang-tiles with associated reusable distributions enabling multi-level instantiation.
This paper presents a method to generate Poisson Disc Distributions (PDDs) with variable radii on Wang-tile sets (without a global optimization) that is able to generate seamless tilings. Because Silva has a freely configurable generation pipeline and can consider plant neighborhoods it is able to incorporate arbitrary abiotic and biotic components during generation. Based on multi-level
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  <subject>
    <topic>Ecosystem simulation</topic>
    <topic>Instantiation</topic>
    <topic>Poisson Disc Distribution</topic>
    <topic>Ray Tracing</topic>
    <topic>Terrain rendering</topic>
    <topic>Wang-tiles</topic>
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Full Metadata

Bibliographic Citation JVRB, 10(2013), no. 1.
Title

Generating and Rendering Large Scale Tiled Plant Populations (eng)
Author Martin Weier, André Hinkenjann, Georg Demme, Philipp Slusallek
Language eng
Abstract Generating and visualizing large areas of vegetation that look natural makes terrain surfaces much more realistic. However, this is a challenging field in computer graphics, because ecological systems are complex and visually appealing plant models are geometrically detailed. This work presents Silva (System for the Instantiation of Large Vegetated Areas), a system to generate and visualize large vegetated areas based on the ecological surrounding. Silva generates vegetation on Wang-tiles with associated reusable distributions enabling multi-level instantiation. This paper presents a method to generate Poisson Disc Distributions (PDDs) with variable radii on Wang-tile sets (without a global optimization) that is able to generate seamless tilings. Because Silva has a freely configurable generation pipeline and can consider plant neighborhoods it is able to incorporate arbitrary abiotic and biotic components during generation. Based on multi-level instancing and nested kd-trees, the distributions on the Wang-tiles allow their acceleration structures to be reused during visualization. This enables Silva to visualize large vegetated areas of several hundred square kilometers with low render times and a small memory footprint.
Subject Ecosystem simulation, Instantiation, Poisson Disc Distribution, Ray Tracing, Terrain rendering, Wang-tiles
Classified Subjects
swd
  • 4055072-2, Simulation
  • 4292517-4, Ray tracing
  • 4219666-8, Rendering
DDC 004
Rights DPPL
URN: urn:nbn:de:0009-6-36322
DOI https://doi.org/10.20385/1860-2037/10.2013.1