DocumentCode
2300224
Title
Indexed Dataflow Network: A Multi-layer and Programmable Architecture to Integrate Both Visualization Pipelines and Scene Graphs
Author
Guillemot, Romain ; Prevost, Stephanie ; Lucas, Laurent
fYear
2015
fDate
22-24 July 2015
Firstpage
35
Lastpage
39
Abstract
Visualization pipelines and scene graphs are widely used paradigms in rendering applications, the former as a key concept in scientific visualization while the latter provides a powerful representation for 3D scenes in graphics applications. Despite an apparent disparity in usage, they show structural similarities by both using a graph-based architecture. Nevertheless, few attempts have been made to integrate both visualization pipelines and scene graphs in a unified design. This paper presents an architecture based on an extended dataflow network which allows implicit invocation of callbacks on network events. Events are then handled by programmable layers on top of the "dataflow layer" to dynamically build scene graph structures and define a multiparadigm model interface, which forms what we call an "indexed dataflow network". We show an implementation of our architecture using NVIDIA SceniX scene management engine and Qt\´s model/view framework.
Keywords
Data visualization; Iris; Observers; Pipelines; Rendering (computer graphics); Three-dimensional displays; MVC; model interface; multi-paradigm; network visualization; structured data; visualization metaphor;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation (iV), 2015 19th International Conference on
Conference_Location
Barcelona, Spain
ISSN
1550-6037
Type
conf
DOI
10.1109/iV.2015.18
Filename
7272576
Link To Document