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Authors: Andrey Rodrigues and Waldemar Celes

Affiliation: Tecgraf/PUC-Rio Institute and Pontifical Catholic University of Rio de Janeiro, Brazil

ISBN: 978-989-758-287-5

Keyword(s): Digital Elevation Model, Terrain Rendering, Scalable LOD, GPU Tessellation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Real-Time Rendering ; Rendering ; Rendering Hardware

Abstract: Efficient rendering of large digital elevation models remains as a challenge for real-time applications, especially if those models contain irregular borders and holes. First, direct use of hardware tessellation has limited scalability; although the graphics hardware is capable of controlling the resolution of patches in a very efficient manner, the whole patch data must be loaded in memory. Second, previous techniques restrict elevation data resolution and do not handle irregular border or holes. In this paper, we propose an efficient and scalable hybrid CPU-GPU algorithm for rendering large digital elevation models. Our proposal effectively combines GPU tessellation with CPU tile management, taking full advantage of GPU processing capabilities while maintaining graphics-memory use under practical limits. Our proposal also handles models with irregular borders and holes. Additionally, we present a technique to manage level of detail of aerial imagery mapped on top of elevation models . Both geometry and texture level of detail management run independently, and tiles are combined with no need to load extra data. (More)

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Paper citation in several formats:
Rodrigues A. and Celes W. (2018). A Hybrid CPU-GPU Scalable Strategy for Multi-resolution Rendering of Large Digital Elevation Models with Borders and Holes.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-287-5, pages 240-247. DOI: 10.5220/0006621902400247

@conference{grapp18,
author={Andrey Rodrigues and Waldemar Celes},
title={A Hybrid CPU-GPU Scalable Strategy for Multi-resolution Rendering of Large Digital Elevation Models with Borders and Holes},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2018},
pages={240-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006621902400247},
isbn={978-989-758-287-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - A Hybrid CPU-GPU Scalable Strategy for Multi-resolution Rendering of Large Digital Elevation Models with Borders and Holes
SN - 978-989-758-287-5
AU - Rodrigues A.
AU - Celes W.
PY - 2018
SP - 240
EP - 247
DO - 10.5220/0006621902400247

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