Results for CaS collection decomposition

In order to allow a quick analysis of the XML file produced by the Collection-aware Segmentation (CaS) algorithm, I wrote a simple XSL transformation that shows CaS results in an easily readable format.

For instance, here you can take a look at the result of decomposing the Flat-Thin Components cluster from Purdue's ESB with CaS.

Model complexity in ESB

I need to study the complexity of models in the PRECISE engineering shape benchmark (ESB) collection. Although such approximation is not always true, I considered that more complex objects contain more faces, while meshes with less triangles represent simpler models. Indeed, a simpler object might contain more faces than a more complex one, depending on the mesh. However, this is not common in the ESB collection and the face count is easy to estimate. From this estimation, I concluded that the majority of the models in this collection contain more than ten thousand polygons, as illustrated in chart below.

Distribution of models from ESB collection according to face count

Decomposing 3D models

Moving forward into my main goal, I am now concerned with model segmentation. In my first approach to this problem I used the fitting primitives mesh clustering algorithm proposed by Marco Attene in is paper "Hierarchical mesh segmentation based on fitting primitives". A result obtained from a model extracted from the ESB with a preliminary prototype is depicted below, different colors representing distinct segments.

Segmented model