A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds

Area of Science:

• Archaeometry
• Digital Archaeology
• Computational Archaeology

Background:

• Archaeological excavations yield vast quantities of fragmented material requiring laborious interpretation and classification.
• Traditional methods for analyzing and comparing these fragments are time-consuming and prone to inaccuracies.
• The need for quantitative, data-driven approaches to optimize the processing of archaeological finds is critical.

Purpose of the Study:

• To develop and implement a system for the automated analysis and classification of archaeological fragments using 3D digital data.
• To integrate a shape feature recognizer with a structured database for efficient querying and comparative analysis of artifact information.
• To streamline the process of archaeological artifact reconstruction, particularly for challenging pottery fragments.

Main Methods:

• Acquisition of 3D point clouds from archaeological fragments via scanning.
• Processing of 3D data using a shape feature recognizer for semantic decomposition into archaeological features.
• Integration of extracted feature data into a structured database for storage, querying, and comparative analysis.

Main Results:

• Successful implementation of a database system capable of storing and querying information from processed 3D archaeological data.
• Demonstrated ability to automatically measure dimensional attributes of artifact features, facilitating comparative studies.
• Application of the system to identify pottery fragments and aid in the reconstruction of archaeological vessels.

Conclusions:

• Quantitative methods processing 3D digital data significantly optimize the archaeological restoration process, making it faster, more accurate, and cost-effective.
• The integrated shape feature recognizer and database system effectively reduce routine work for archaeologists and enhance knowledge extraction.
• This approach offers a powerful solution for complex artifact reconstruction problems, especially for fragments intractable by traditional methods.