| dc.contributor.advisor | Lube, Gert Prof. Dr. | |
| dc.contributor.author | Gesemann, Sebastian | |
| dc.date.accessioned | 2018-10-22T09:53:50Z | |
| dc.date.available | 2018-10-22T09:53:50Z | |
| dc.date.issued | 2018-10-22 | |
| dc.identifier.uri | http://hdl.handle.net/11858/00-1735-0000-002E-E4DA-C | |
| dc.identifier.uri | http://dx.doi.org/10.53846/goediss-7110 | |
| dc.language.iso | deu | de |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject.ddc | 510 | de |
| dc.title | Optimizations of Optical Flow Measurement Systems | de |
| dc.type | doctoralThesis | de |
| dc.contributor.referee | Lube, Gert Prof. Dr. | |
| dc.date.examination | 2017-10-23 | |
| dc.description.abstracteng | In this cumulative thesis contributions are presented that cover the computational aspects of optical measurement systems for flow investigations in aerodynamics and fluid mechanics. Flow measurements are useful in gaining an understanding of flow dynamics and validating numerical models for flow dynamics simulations. With the goal of accurately capturing and visualizing details of unsteady and moving flow structures based on recorded digital images of small tracer particles, the contributions cover a wide range from digital image processing, camera calibration, 2D and 3D reconstruction, estimation of position, velocity and acceleration, noise reduction and spatial interpolation of scattered 3D data using physically-motivated regularizations. | de |
| dc.contributor.coReferee | Baum, Marcus Prof. Dr. | |
| dc.subject.eng | particle image velocimetry | de |
| dc.subject.eng | flow measurement | de |
| dc.subject.eng | particle tracking | de |
| dc.subject.eng | pressure estimation | de |
| dc.identifier.urn | urn:nbn:de:gbv:7-11858/00-1735-0000-002E-E4DA-C-6 | |
| dc.affiliation.institute | Fakultät für Mathematik und Informatik | de |
| dc.subject.gokfull | Informatik (PPN619939052) | de |
| dc.identifier.ppn | 1035259257 | |