Kalbe, Thomas ; Tekusová, Tatiana ; Schreck, Tobias ; Zeilfelder, Frank (2008)
GPU-Accelerated 2D Point Cloud Visualization Using Smooth Splines for Visual Analytics Applications.
Spring Conference on Computer Graphics SCCG 2008. Conference Proceedings.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We develop an efficient point cloud visualization framework. For efficient navigation in the visualization, we introduce a spline-based technique for the smooth approximation of discrete distance field data. Implemented on the GPU, the approximation technique allows for efficient visualizations and smooth zooming in and out of the distance field data. Combined with a template set of predefined, automatically or interactively adjustable transfer functions, the smooth distance field representation allows for an effective visualization of point cloud data at random abstraction levels. Using the presented technique, sets of point clouds can be effectively analyzed for intra- and inter-point cloud distribution characteristics. The effectiveness and usefulness of our approach is demonstrated by application on various point cloud visualization problems.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2008 |
| Autor(en): | Kalbe, Thomas ; Tekusová, Tatiana ; Schreck, Tobias ; Zeilfelder, Frank |
| Art des Eintrags: | Bibliographie |
| Titel: | GPU-Accelerated 2D Point Cloud Visualization Using Smooth Splines for Visual Analytics Applications |
| Sprache: | Englisch |
| Publikationsjahr: | 2008 |
| Verlag: | Comenius University, Bratislava |
| Veranstaltungstitel: | Spring Conference on Computer Graphics SCCG 2008. Conference Proceedings |
| Kurzbeschreibung (Abstract): | We develop an efficient point cloud visualization framework. For efficient navigation in the visualization, we introduce a spline-based technique for the smooth approximation of discrete distance field data. Implemented on the GPU, the approximation technique allows for efficient visualizations and smooth zooming in and out of the distance field data. Combined with a template set of predefined, automatically or interactively adjustable transfer functions, the smooth distance field representation allows for an effective visualization of point cloud data at random abstraction levels. Using the presented technique, sets of point clouds can be effectively analyzed for intra- and inter-point cloud distribution characteristics. The effectiveness and usefulness of our approach is demonstrated by application on various point cloud visualization problems. |
| Freie Schlagworte: | Forschungsgruppe Visual Search and Analysis (VISA), Transfer functions, Splines, Adaptive distance field approximation, Point clouds, Graphics Processing Unit (GPU) |
| Fachbereich(e)/-gebiet(e): | nicht bekannt 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 16 Apr 2018 09:03 |
| Letzte Änderung: | 16 Apr 2018 09:03 |
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