期刊
REMOTE SENSING
卷 13, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/rs13030461
关键词
heritage; 3D survey; H-BIM; point cloud; classification; semantic annotation; machine learning; Random Forest; laser scanning; photogrammetry
类别
资金
- POR FSE TOSCANA 2014/2020 (Tuscany Region)
- Universita Italo-Francese, Vinci2019 fellowship
This work proposes a semi-automatic approach to reconstruct 3D heritage building information models from point clouds using machine learning techniques. The trend of using three-dimensional representations in architectural heritage documentation and analysis is increasing.
This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building Information Models from point clouds based on machine learning techniques. The use of digital information systems leveraging on three-dimensional (3D) representations in architectural heritage documentation and analysis is ever increasing. For the creation of such repositories, reality-based surveying techniques, such as photogrammetry and laser scanning, allow the fast collection of reliable digital replicas of the study objects in the form of point clouds. Besides, their output is raw and unstructured, and the transition to intelligible and semantic 3D representations is still a scarcely automated and time-consuming process requiring considerable human intervention. More refined methods for 3D data interpretation of heritage point clouds are therefore sought after. In tackling these issues, the proposed approach relies on (i) the application of machine learning techniques to semantically label 3D heritage data by identification of relevant geometric, radiometric and intensity features, and (ii) the use of the annotated data to streamline the construction of Heritage-Building Information Modeling (H-BIM) systems, where purely geometric information derived from surveying is associated with semantic descriptors on heritage documentation and management. The Grand-Ducal Cloister dataset, related to the emblematic case study of the Pisa Charterhouse, is discussed.
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