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, that we called 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 report about the application of mesh-LBP to the problem of 3D texture-classification in comparison to standard 3D surface descriptors and show the mesh-LBP robustness to mesh irregularities.