is the distance between the descriptors of the tessellation $i$ and $j$. Diagonal values of $Dist(i,i)$ are zero.

Experimental results {#sec:results}
====================

In this Section we introduce the datasets and the evaluation measures adopted to analyse the retrieval performance of the edgeLBP. We present the edgeLBP performances and discuss its robustness to different tessellations of the same surface.

Dataset
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To evaluate the edgeLBP ability of effectively discriminating pattern variations, we used two datasets:

-   the *Cups, Pots and Pans* dataset (or *CPP* for short) is created from triangle meshes in the SHREC’07 Watertight model contest [@SHREC07] and the COSEG [@COSEG:2012] datasets (see Figure \[fig:CCP\_origin\](Left)). The original meshes do not have any texture or colorimetric information. From 20 base models and 10 black and white textures representing a pattern (see Figure \[fig:CCP\_origin\](Center)) we derived 200 models, applying each texture to every model with a semi-automatic algorithm. The proper RGB value was added to the mesh vertices discarding any other colorimetric information (see Figure \[fig:CCP\_origin\](Right)). At the end of this process, each model is covered by one of the 10 patterns for at least the 30% of its surfaces while the rest of the surface is only black or only white. 