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

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dc.contributor.authorBecher, Michaelen_US
dc.contributor.authorGroß, Anjaen_US
dc.contributor.authorWerner, Peteren_US
dc.contributor.authorMaierhofer, Mathiasen_US
dc.contributor.authorReina, Guidoen_US
dc.contributor.authorErtl, Thomasen_US
dc.contributor.authorMenges, Achimen_US
dc.contributor.authorWeiskopf, Danielen_US
dc.contributor.editorHoellt, Thomasen_US
dc.contributor.editorAigner, Wolfgangen_US
dc.contributor.editorWang, Beien_US
dc.date.accessioned2023-06-10T06:34:35Z
dc.date.available2023-06-10T06:34:35Z
dc.date.issued2023
dc.description.abstractIn 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.en_US
dc.description.sectionheaders3D
dc.description.seriesinformationEuroVis 2023 - Short Papers
dc.identifier.doi10.2312/evs.20231044
dc.identifier.isbn978-3-03868-219-6
dc.identifier.pages61-65
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/evs.20231044
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20231044
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Rendering; Human-centered computing -> Visualization
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectHuman centered computing
dc.subjectVisualization
dc.titleMulti-attribute Visualization and Improved Depth Perception for the Interactive Analysis of 3D Truss Structuresen_US
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