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Authors:
Rahmani, Kujtim 
Document type:
Dissertation / Thesis 
Title:
Facade Interpetation from Images 
Advisor:
Mayer, Helmut, Prof. Dr.-Ing. 
Referee:
Mayer, Helmut, Prof. Dr.-Ing. ; Hellwich, Olaf Prof. Dr.-Ing. 
Date oral examination:
29.06.2020 
Publication date:
20.07.2020 
Year:
2020 
Pages (Book):
135 
Language:
Englisch 
Keywords:
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 lea...    »
 
Department:
Fakultät für Informatik 
Institute:
INF 4 - Institut für Angewandte Informatik 
Chair:
Mayer, Helmut 
Open Access yes or no?:
Ja / Yes