Graph Modeling of Segmented Surface Features for Investigating Operational Sequences and Lithic Technologies in 3D (Working Title)

This PhD project focuses on a multifaceted approach to derive graph models of surface features (e.g. scars, ridges and cortex) from manually, semi- and fully automatically segmented 3D models. These resulting graph models are then used to predict the temporal relationships between surface features for reconstructing operational sequences. Additionally, the graph models can be used to train neural networks to distinguish between lithic technologies using automatically segmented and temporally enriched graph models of experimental knapping sequences.