to study the past, by giving access to plenty of representations of artifacts close to their original form. At the same time, Cultural Heritage owns a growing mass of non-interpreted 3D data, which call for innovative solutions for the analysis of data. In this context, local descriptors, feature recognition and similarity measures become indexes to the informative content of 3D models, and are essential to categorize objects and to recognize a style, e.g. to attribute objects to a given society or to a given author. A typical problem the archaeologists face when dealing with collections of fragments is to determine their compatibility. Compatibility is generally determined by multiple factors: geometric correspondence, same material and, possibly, if there are not evidently matching fragments, continuity consideration on the fragment skin (colour, texture) [@gravitate_proc].

Within the large scenario of Cultural Heritage, we focus on the analysis and description of color patterns. The idea is to recognize the same decoration, for instance a repeated lotus leaf, independently of the support (e. g., the surface bending) on which it is depicted. Therefore, this work will contribute to the definition of a compatibility measure among artifacts based on skin decorations. To approach this problem, we consider 