Logo
Benutzer: Gast  Login
Autoren:
Rahmani, Kujtim 
Dokumenttyp:
Dissertation / Thesis 
Titel:
Facade Interpretation from Images 
Betreuer:
Mayer, Helmut, Prof. Dr.-Ing. 
Gutachter:
Mayer, Helmut, Prof. Dr.-Ing.; Hellwich, Olaf, Prof. Dr.-Ing. 
Tag der mündlichen Prüfung:
29.06.2020 
Publikationsdatum:
20.07.2020 
Jahr:
2020 
Seiten (Monografie):
135 
Sprache:
Englisch 
Schlagwörter:
Künstliche Intelligenz ; Maschinelles Sehen ; Dreidimensionales Modell ; Fassade ; Fenster ; Segmentierung ; Entscheidungsbaum ; Hochschulschrift 
Stichwörter:
Computer vision, Facade Segmentation, Structured Random Forest, Object Detection, Transoms and Mullions 
Abstract:
Artificial Intelligence (AI) has reached every area in our life. Furthermore, three-dimensional (3D) models are becoming a main topic of technology. This thesis is devoted to using AI techniques for facade segmentation which aids the 3D reconstruction of the facades of buildings. First, we have developed a pipeline for the segmentation of whole facade distinguishing the classes balcony, door, roof, shop, sky, wall and window. Our hybrid pipeline consists of traditional and modern machine learnin...    »
 
DDC-Notation:
621.3993 
Fakultät:
Fakultät für Informatik 
Institut:
INF 4 - Institut für Angewandte Informatik 
Professur:
Mayer, Helmut 
Open Access ja oder nein?:
Ja / Yes