Towards Geometric Digital Twins, Including Damage Detection, from Photos of Residential Buildings Facades-Reference-Cited by-同舟云学术

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Towards Geometric Digital Twins, Including Damage Detection, from Photos of Residential Buildings Facades

Published:2024-06-12 Issue: Volume:39 Page:98-103
ISSN:
Container-title:2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)
language:
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Author:

Schetakis Nikolaos¹,Koutmos Vassilios²,Papoutsakis Napoleon³,Stavrakakis Konstantinos⁴,Stavroulakis Georgios E.¹,Stavrakakis George²

Affiliation:

1. School of Production Engineering and Management, Technical University of Crete,Chania,Greece

2. School of Electrical and Computer Engineering, Technical University of Crete,Chania,Greece

3. Alma Sistemi Srl,Rome,Italy

4. Quantum Innovation Pc,Chania,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10615258/10615271/10615756.pdf?arnumber=10615756

Reference58 articles.

1. Evaluation-oriented façade defects detection using rule-based deep learning method

2. Prediction and measurement of damage to architectural heritages facades using convolutional neural networks

3. Historical Building Inspection using the Unmanned Aerial Vehicle (Uav)

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