Academic Article
Sharing structured archaeological 3D data: open source tools for artificial intelligence applications and collaborative frameworks
- Title
- Sharing structured archaeological 3D data: open source tools for artificial intelligence applications and collaborative frameworks
- Creator(s)
- Buscemi, Francesca
- Figuera, Marianna
- Gallo, Giovanni
- Lo Duca, Angelica
- Marchetti, Andrea
- Date
- 2023
- Volume
- 34
- Issue
- 1
- Pages
- 145-156
- Language
- eng
- Rights
- CC BY-NC-ND 4.0
- Short Title
- Sharing structured archaeological 3D data
- Abstract
- This paper focuses on collaborative methods and open source tools aimed to analyze and query 3D photogrammetric models of ancient architectures. The processing of virtual models led to the constitution of a training dataset of around 1300 wall facing stones from four archaeological sites in Crete. Through a purposely-conceived add-on of the open source software Blender, some algorithms expressed in Python are able to extract archaeologically significant features and to perform processes of Machine Learning and data mining. The resulting data are imported into a dedicated DB managed through a web application based on the open source framework Django. This workflow addresses some peculiar challenges of the application of Artificial Intelligence to archaeological heritage: the lack of training dataset, particularly related to architecture; the lack of best practices for geometry processing and analysis of 3D data; the use of poorly predictive data in semi-automatic processes; the sharing of data into the scientific community; the importance of the open source technology and open data.
- Cites
- On Assisting and Automatizing the Semantic Segmentation of Masonry Walls
- Architectural Heritage Ontology - Concepts and Some Practical Issues
- Stone-by-Stone Segmentation for Monitoring Large Historical Monuments Using Deep Neural Networks
- Point cloud segmentation and semantic annotation aided by gis data for heritage complexes
- A Unified Approach to Interpreting Model Predictions
- Automatic segmentation of 3D point clouds of rubble masonry walls, and its application to building surveying, repair and maintenance
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier
- Classification and Regression Trees
- Random Forest
- CRMba a CRM extension for the documentation of standing buildings
- Phaistos
- Models for complex spatio-temporal relationships and their implementation using open source components
- Modeling and semantic classification of archaeological finds for management and visualization in 3D archaeological databases
- ANTEO: Sharing Archaeological Data on a WebGIS Platform
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