The Mesh-LBP: Computing Local Binary Patterns on Discrete Manifolds

In this paper, we present a novel and original framework for computing Local Binary Pattern (LBP)-like patterns on a triangular mesh manifold. This framework, dubbed mesh-LBP can be adapted to all the LBP variants employed in 2D image analysis. As such, it allows extending the related techniques to mesh surfaces. First, we describe the foundations, the construction and the features of the mesh-LBP. In the experiments, we first show evidence of the presence of the ``uniformity'' aspect in the mesh-LBP patterns. Then, we show the mesh-LBP repeatability across different instances of same objects, %and the potentials for analyzing a variety of triangular mesh surfaces, reporting also the application of mesh-LBP to the problem of 3D texture-classification in comparison to standard 3D surface descriptors.