Abstract
Pottery is the most frequent artifact studied by archaeologists. Given its high frequency, scholars have developed various methods for its quantification, including 3D scans and profile lines.
Quantifying and documenting pottery benefits greatly from computerized assistance, as the human ability to distinguish and identify pottery sherds is limited. The application of computer vision methods provides a large number of data and new, challenging, and interesting conceptual problems.
These new challenges are accentuated by describing and presenting pottery as a 3D surface in order to reconstruct a complete vessel from a single fragment.