Multi-attribute Visualization and Improved Depth Perception for the Interactive Analysis of 3D Truss Structures

Abstract
In architecture, engineering, and construction (AEC), load-bearing truss structures are commonly modeled as a set of connected beam elements. For complex 3D structures, rendering beam elements as line segments presents several challenges due densely overlapping elements, including visual clutter, and general depth perception issues. Furthermore, line segments provide very little area for displaying additional element attributes. In this paper, we investigate the effectiveness of rendering effects for reducing visual clutter and improving depth perception for truss structures specifically, such as distance-based brightness attenuation and screen-space ambient occlusion (SSAO). Additionally, we provide multiple options for multi-attribute visualization directly on the structure and evaluate both aspects with two expert interviews.
Description

CCS Concepts: Computing methodologies -> Rendering; Human-centered computing -> Visualization

        
@inproceedings{
10.2312:evs.20231044
, booktitle = {
EuroVis 2023 - Short Papers
}, editor = {
Hoellt, Thomas
and
Aigner, Wolfgang
and
Wang, Bei
}, title = {{
Multi-attribute Visualization and Improved Depth Perception for the Interactive Analysis of 3D Truss Structures
}}, author = {
Becher, Michael
and
Groß, Anja
and
Werner, Peter
and
Maierhofer, Mathias
and
Reina, Guido
and
Ertl, Thomas
and
Menges, Achim
and
Weiskopf, Daniel
}, year = {
2023
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-219-6
}, DOI = {
10.2312/evs.20231044
} }
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