| dc.contributor.author | Dyck, Michiel Van | en_US |
| dc.contributor.author | Peremans, Herbert | en_US |
| dc.contributor.editor | Andrea Fusiello and Michael Wimmer | en_US |
| dc.date.accessioned | 2013-11-08T10:27:46Z | |
| dc.date.available | 2013-11-08T10:27:46Z | |
| dc.date.issued | 2012 | en_US |
| dc.identifier.issn | 1017-4656 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/conf/EG2012/posters/041-042 | en_US |
| dc.description.abstract | Based on state-of-the art bio-inspired air flow sensors it becomes possible to capture air flow velocity and direction at multiple locations at the same time instance. These sensor values can be used in a simulation environment to visualize and examine the captured air flow pattern. The simulation environment makes interpolations of the flow between the sensors based on the Navier-Stokes equations. These equations can be solved efficiently using a stable approximation technique described by J Stam and making use of the enormous parallel computing power available through the latest graphical processing boards. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Algorithms, Measurement, Performance, Experimentation; Categories and Subject Descriptors (according to ACM CCS): I.5.5 [Computer Graphics]: Pattern recognition-Implementation | en_US |
| dc.title | Realtime 3D Sensor Based Air Flow Reconstruction | en_US |
| dc.description.seriesinformation | Eurographics 2012 - Posters | en_US |
