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Application of Deep Learning Approach for the Classification of Buildings' Degradation State in a BIM Methodology
2022
Applied Sciences
Currently, there is extensive research focused on automatic strategies for the segmentation and classification of 3D point clouds, which can accelerate the study of a landmark and integrate it with heterogeneous data and attributes, useful to facilitate the digital management of architectural heritage data. In this work, an automated image-based survey has been exploited a Region- Based Convolutional Neural Network. The training phase has been executed providing examples of images with the
doi:10.3390/app12157403
fatcat:eucphfcnzja2fajxyueqaboqwm