Publication detail

Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU

VANEK, J. BENEŠ, B. HEROUT, A. ŠŤAVA, O.

Original Title

Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU

English Title

Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU

Type

journal article - other

Language

en

Original Abstract

In this article, we introduce a new interactive, intuitive, and accessible physics-based framework for digital terrain editing. Our solution is suitable for users involved in digital content authoring and does not assume any in-depth knowledge about physics-based simulations. Large terrains can be loaded from external sources, generated procedurally, or created manually, and they are edited at interactive framerates on the GPU. We introduce two simplifications that allow us to perform large scale editing. First, the terrain is divided into tiles of different resolutions according to the complexity of the underlying terrain. Second, each tile is stored as a mip-map texture and different levels of detail are used during the physics-based simulation depending on the dynamics of terrain changes. In comparison with nonadaptive computation, by using our approach we can achieve a 50% speedup with a simultaneous 25% savings of memory. Most important, we can process terrain sizes that were not possible to process with previous approaches.

English abstract

In this article, we introduce a new interactive, intuitive, and accessible physics-based framework for digital terrain editing. Our solution is suitable for users involved in digital content authoring and does not assume any in-depth knowledge about physics-based simulations. Large terrains can be loaded from external sources, generated procedurally, or created manually, and they are edited at interactive framerates on the GPU. We introduce two simplifications that allow us to perform large scale editing. First, the terrain is divided into tiles of different resolutions according to the complexity of the underlying terrain. Second, each tile is stored as a mip-map texture and different levels of detail are used during the physics-based simulation depending on the dynamics of terrain changes. In comparison with nonadaptive computation, by using our approach we can achieve a 50% speedup with a simultaneous 25% savings of memory. Most important, we can process terrain sizes that were not possible to process with previous approaches.

Keywords

Digital content authoring, large-scale terrain, physics-based simulation, terrain editing, mip-map, hydraulic erosion, GPU.

RIV year

2011

Released

11.07.2011

Publisher

NEUVEDEN

Location

NEUVEDEN

ISBN

0272-1716

Periodical

IEEE COMPUTER GRAPHICS AND APPLICATIONS

Year of study

2011

Number

1

State

US

Pages count

10

Documents

BibTex


@article{BUT76410,
  author="Juraj {Vanek} and Bedřich {Beneš} and Adam {Herout} and Ondřej {Šťava}",
  title="Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU",
  annote="In this article, we introduce a new interactive, intuitive, and accessible
physics-based framework for digital terrain editing. Our solution is suitable for
users involved in digital content authoring and does not assume any in-depth
knowledge about physics-based simulations. Large terrains can be loaded from
external sources, generated procedurally, or created manually, and they are
edited at interactive framerates on the GPU. We introduce two simplifications
that allow us to perform large scale editing. First, the terrain is divided into
tiles of different resolutions according to the complexity of the underlying
terrain. Second, each tile is stored as a mip-map texture and different levels of
detail are used during the physics-based simulation depending on the dynamics of
terrain changes. In comparison with nonadaptive computation, by using our
approach we can achieve a 50% speedup with a simultaneous 25% savings of memory.
Most important, we can process terrain sizes that were not possible to process
with previous approaches.",
  address="NEUVEDEN",
  chapter="76410",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  number="1",
  volume="2011",
  year="2011",
  month="july",
  pages="0--0",
  publisher="NEUVEDEN",
  type="journal article - other"
}