2011
DOI: 10.1587/transinf.e94.d.137
|View full text |Cite
|
Sign up to set email alerts
|

Geometry Splitting: An Acceleration Technique of Quadtree-Based Terrain Rendering Using GPU

Abstract: SUMMARYIn terrain visualization, the quadtree is the most frequently used data structure for progressive mesh generation. The quadtree provides an efficient level of detail selection and view frustum culling. However, most applications using quadtrees are performed on the CPU, because the pointer and recursive operation in hierarchical data structure cannot be manipulated in a programmable rendering pipeline. We present a quadtreebased terrain rendering method for GPU (Graphics Processing Unit) execution that … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
14
0

Year Published

2011
2011
2019
2019

Publication Types

Select...
3
1
1

Relationship

2
3

Authors

Journals

citations
Cited by 9 publications
(14 citation statements)
references
References 29 publications
0
14
0
Order By: Relevance
“…We compared the rendering speed of bimodal vertex splitting (BVS in Fig. 11), geometry splitting [7] (GS in Fig. 11), chunk level-of-detail method using ef-buffer [19] (Chunk in Fig.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…We compared the rendering speed of bimodal vertex splitting (BVS in Fig. 11), geometry splitting [7] (GS in Fig. 11), chunk level-of-detail method using ef-buffer [19] (Chunk in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Our previous work on geometry splitting [7] provides GPU-based quadtree triangulation overcomes this limitation. Figure 1 (a) shows the entire process of geometry splitting.…”
Section: Our Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Due to the ever increasing size of the terrain data, previous polygonal mesh based approaches [1][2][3] have critical problems by mapping the terrain data into polygons. Even though, most mesh reconstructions were performed on CPU.…”
mentioning
confidence: 99%