Abstract
In computational science and computer graphics, there is a strong requirement to represent and visualize information in the real domain, and many visualization data structures and algorithms have been proposed to achieve this aim. Unfortunately, the dataflow model that is often selected to address this issue in visualization systems is not flexible enough to visualize newly invented data structures and algorithms because this scheme can accept only specific data structures. To address this problem, we propose a new visualization tool, RViz, which is independent of the input information data structures. Since there is no requirement for additional efforts to manage the flow networks and the interface to abstracted information is simple in RViz, any scientific information visualization algorithms are easier to implement than the dataflow model. In this paper, we provide case studies in which we have successfully implemented new data structures and related algorithms using RViz, including geometry synthesis, distance field representation, and implicit surface reconstruction. Through these cases, we show how RViz helps users visualize and understand any hidden insights in input information.
| Original language | English |
|---|---|
| Pages (from-to) | 337-345 |
| Number of pages | 9 |
| Journal | Telecommunication Systems |
| Volume | 60 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2015 Apr 17 |
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Keywords
- Decorator pattern
- Lightweight framework
- Spatial data visualization
- Visualization toolkit
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
RViz : a toolkit for real domain data visualization. / Kam, Hyeong Ryeol; Lee, Sung Ho; Park, Taejung; Kim, Chang-Hun.
In: Telecommunication Systems, Vol. 60, No. 2, 17.04.2015, p. 337-345.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - RViz
T2 - a toolkit for real domain data visualization
AU - Kam, Hyeong Ryeol
AU - Lee, Sung Ho
AU - Park, Taejung
AU - Kim, Chang-Hun
PY - 2015/4/17
Y1 - 2015/4/17
N2 - In computational science and computer graphics, there is a strong requirement to represent and visualize information in the real domain, and many visualization data structures and algorithms have been proposed to achieve this aim. Unfortunately, the dataflow model that is often selected to address this issue in visualization systems is not flexible enough to visualize newly invented data structures and algorithms because this scheme can accept only specific data structures. To address this problem, we propose a new visualization tool, RViz, which is independent of the input information data structures. Since there is no requirement for additional efforts to manage the flow networks and the interface to abstracted information is simple in RViz, any scientific information visualization algorithms are easier to implement than the dataflow model. In this paper, we provide case studies in which we have successfully implemented new data structures and related algorithms using RViz, including geometry synthesis, distance field representation, and implicit surface reconstruction. Through these cases, we show how RViz helps users visualize and understand any hidden insights in input information.
AB - In computational science and computer graphics, there is a strong requirement to represent and visualize information in the real domain, and many visualization data structures and algorithms have been proposed to achieve this aim. Unfortunately, the dataflow model that is often selected to address this issue in visualization systems is not flexible enough to visualize newly invented data structures and algorithms because this scheme can accept only specific data structures. To address this problem, we propose a new visualization tool, RViz, which is independent of the input information data structures. Since there is no requirement for additional efforts to manage the flow networks and the interface to abstracted information is simple in RViz, any scientific information visualization algorithms are easier to implement than the dataflow model. In this paper, we provide case studies in which we have successfully implemented new data structures and related algorithms using RViz, including geometry synthesis, distance field representation, and implicit surface reconstruction. Through these cases, we show how RViz helps users visualize and understand any hidden insights in input information.
KW - Decorator pattern
KW - Lightweight framework
KW - Spatial data visualization
KW - Visualization toolkit
UR - http://www.scopus.com/inward/record.url?scp=84940459781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940459781&partnerID=8YFLogxK
U2 - 10.1007/s11235-015-0034-5
DO - 10.1007/s11235-015-0034-5
M3 - Article
VL - 60
SP - 337
EP - 345
JO - Telecommunication Systems
JF - Telecommunication Systems
SN - 1018-4864
IS - 2
ER -