In this work, we focus on applying CBR on pottery which
is considered as one of the major candidates for 3D digitisation.
Artefacts of this domain are considered ‘3D Scanner Friendly’
due to their morphological features (e.g. axial symmetry and
low reflectivity surfaces). Additionally, it is a fact that pottery
has a remarkable continuity through time and it is used by
archaeologists to identify and comprehend various aspects of
ancient societies. Based on the previous, we attempted to create
pottery specific shape descriptors. The descriptors can be
extracted from 3D mesh vessel replicas after pre-processing
them with a scale and pose normalisation algorithm