PhD Project: Semantic Segmentation of 3D Scanned Cultural Heritage Artifacts

This project develops automated methods to segment 3D scans of cultural heritage objects, focusing on lithic artifacts and cuneiform tablets. For lithics, discrete Morse theory segments scars to aid in understanding tool production. For cuneiform tablets, a watershed-based method can detect wedges. Further, a mesh-based neural network is trained on synthetic and experimentally generated data to perform wedge segmentation.