loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sid'Ali Kalem and Assia Kourgli

Affiliation: USTHB, Algeria

Keyword(s): Large Terrain, Rendering, LOD, View-dependent, GPU, Wavelet, QuadTree.

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

Abstract: The goal of the following paper is to point out an alternative approach to the adaptive triangulation problem. A new technique of terrain rendering which uses wavelet transform to select appropriate LOD is described. This technique is a region-based multi-resolution approach that partitions the terrain into tiles that can be processed independently. The algorithm organizes the heightmap into a QuadTree of nodes and computes maximum world-space errors for each node. World-space errors are then calculated at preprocess step. As the datasets of realistic terrains are usually huge, we suggest using the multi-resolution wavelet decomposition to localize the position of the maximum world-space error estimated and limit the region of research inside the node. It permits to choose the appropriate resolution of the regular grid that will represent the node at run time. By this way, computation load on the CPU is greatly reduced.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.14.142.189

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kalem, S. and Kourgli, A. (2015). Large-scale Terrain Level of Detail Estimation based on Wavelet Transform. In Proceedings of the 10th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2015) - GRAPP; ISBN 978-989-758-087-1; ISSN 2184-4321, SciTePress, pages 258-264. DOI: 10.5220/0005310402580264

@conference{grapp15,
author={Sid'Ali Kalem. and Assia Kourgli.},
title={Large-scale Terrain Level of Detail Estimation based on Wavelet Transform},
booktitle={Proceedings of the 10th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2015) - GRAPP},
year={2015},
pages={258-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005310402580264},
isbn={978-989-758-087-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2015) - GRAPP
TI - Large-scale Terrain Level of Detail Estimation based on Wavelet Transform
SN - 978-989-758-087-1
IS - 2184-4321
AU - Kalem, S.
AU - Kourgli, A.
PY - 2015
SP - 258
EP - 264
DO - 10.5220/0005310402580264
PB - SciTePress