A Comprehensive Study of Clustering a Class of 2D Shapes

Abstract

The paper is concerned with clustering with respect to the shape and size of 2D contours that are boundaries of cross-sections of 3D objects of revolution. We propose a number of similarity measures based on combined disparate Procrustes analysis (PA) and dynamic time warping (DTW) distances. A motivation and the main application for this study comes from archaeology. The computational experiments performed refer to the clustering of archaeological pottery.

Keywords

• shape representation
• procrustes distance
• shape similarity
• dtw
• morphometrics
• clustering
• kendall shape theory
• typology of archaeological pottery