Pixel-Based Level of Detail on Hardware Tessellated Terrain Rendering
Loading...

Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery, Inc
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
As the GPU's processing power has been improving much faster than the CPU's. the terrain rendering algorithms have evolved to use the graphics hardware as much as possible. One of the recently developed GPU-based Level of Detail (LOD) algorithm is Continuous View Dependent Adaptive LOD using hardware tessellation. In this study, Continuous View Dependent Adaptive LOD using hardware tessellation is enhanced using three additional methods. First method is determining pixel-based LOD using occlusion query. Because of hidden surface culling, render time is reduced. Second method is determining pixel-based LOD using occlusion query that newly developed by using OpenGL and CUDA interoperability. Œird method is extension of second method that includes quad-tree based query for each terrain node. Œird method aims to increase rendering quality of partial rendered terrain node. © 2017 Copyright held by the owner/author(s).
Description
ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH)
Keywords
Continuous View Dependent Adaptive Lod, Determining Lod, Hardware Tessellation, Occlusion Query, Terrain Rendering
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Özek, Mehmet Ömer; Demir, Engin (2017). "Pixel-based level of detail on hardware tessellated terrain rendering", ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017, 44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017 Los Angeles30 July 2017through 3 August 2017.
WoS Q
Scopus Q

OpenCitations Citation Count
N/A
Source
ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017 -- 44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017 -- 30 July 2017 through 3 August 2017 -- Los Angeles -- 129315
Volume
Issue
Start Page
1
End Page
2
PlumX Metrics
Citations
Scopus : 0
Captures
Mendeley Readers : 6
Page Views
2
checked on Feb 13, 2026
Google Scholar™


