COLMAP: 3D scene reconstruction with automatic crack detection on masonry strucutres

COLMAP was used for the 3D scene reconstruction of masonry specimens tested under in plane bending. The 3D model will be combined with the Artificial Intelligence algorithm that has been already developed for the automatic detection of cracks on masonry surfaces. More results will be included in the upcoming Journal Paper that is under preparation at the moment. Journal Paper for crack detection on masonry structures free to download https://www.researchgate.net/publication/349645935_Automatic_crack_classification_and_segmentation_on_masonry_surfaces_using_convolutional_neural_networks_and_transfer_learning An illustrative non-technical review on “Deep learning with Python for crack detection” https://towardsdatascience.com/deep-learning-with-python-for-crack-detection-eceeeb3e182e Python Codes used for the implementation of the Deep Learning models https://github.com/dimitrisdais/crack_detection_CNN_masonry LinkedIn: https://www.linkedin.com/in/dimitris-dais/ Email: dimitris.dais.phd@gmail.com ResearchGate: https://www.researchgate.net/profile/Dimitris-Dais COLMAP: https://colmap.github.io/