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Autoren:
Hummel, Georg 
Dokumenttyp:
Dissertation / Thesis 
Titel:
On synthetic datasets for development of computer vision algorithms in airborne reconnaissance applications 
Betreuer:
Stütz, Peter, Univ.-Prof. Dr.-Ing. 
Gutachter:
Stütz, Peter, Univ.-Prof. Dr.-Ing.; Remagnino, Paolo, Prof. Dr. 
Tag der mündlichen Prüfung:
07.04.2017 
Publikationsdatum:
11.10.2017 
Jahr:
2017 
Seiten (Monografie):
265 
Sprache:
Englisch 
Schlagwörter:
Drohne ; Luftaufklärung ; Bildverarbeitung ; Regressionsanalyse ; Virtuelle Realität ; Computergrafik ; Hochschulschrift 
Stichwörter:
computer vision; evaluation; synthetic environment; validation; feature detector; repeatability; Image content difference; regression analysis; MPEG7; UAV; airborne; remote sensing; aerial reconnaissance; computer graphics imagery; synthetic data; design recommendations 
Abstract:
The complexity of flight raises the acquisition cost for aerial datasets to prototype, test or evaluate airborne computer vision algorithms. A possible surrogate is the usage of virtual environments. However, it is unclear how results acquired in such environments transfer to real world situations. This thesis presents a general concept to identify performance differences of computer vision algorithm on synthetic and natural data. Further, it correlates these difference to image content differen...    »
 
DDC-Notation:
621.3678 
Fakultät:
Fakultät für Luft- und Raumfahrttechnik 
Institut:
LRT 13 - Institut für Flugsysteme 
Professur:
Stütz, Peter 
Open Access ja oder nein?:
Ja / Yes 
Art der OA-Lizenz:
CC