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  4. Mobile Application to Support Facade Renovation
 
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2025
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

Mobile Application to Support Facade Renovation

Abstract
We present a mobile application that enables end users to quickly calculate the size of a building facade. Our goal is to support the renovation of facades, as their costs are mainly determined by the surface area. We developed an image-based approach that consists of four steps. First, we measure the facade width using augmented reality (AR) functionalities of modern smartphones. In our evaluation, this measurement achieves an average accuracy of 98.5 %. In the second step, the user takes a photo of the facade and marks its contours. All information is transferred to a server that rectifies the photo. The result of step three is a distortion-free orthophoto of the facade, with the correct ratio of width to height. The fourth and final step is AI-based image recognition to identify facade elements such as windows, doors, and roofs. The facade area is calculated by subtracting the area of facade elements from the total area. We evaluated our application on ten different buildings and achieved an average accuracy of 97.5 % for the facade area.
Author(s)
Quintel, Oliver
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Würz, Hendrik Martin  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Krämer, Michel  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Klien, Eva  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Conference
Forum Bauinformatik 2025  
File(s)
Download (9.27 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-6671
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Infrastructure and Public Services

  • Research Line: Computer graphics (CG)

  • Research Line: Modeling (MOD)

  • Research Line: Machine learning (ML)

  • LTA: Generation, capture, processing, and output of images and 3D models

  • Facade recognition

  • Mobile applications

  • Augmented reality (AR)

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