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, reporting also the application of mesh-LBP to the problem of 3D texture-classification in comparison to standard 3D surface descriptors.
The mesh-LBP: computing Local Binary Patterns on Discrete Manifolds / N. Werghi; S. Berretti; A. Del Bimbo; P. Pala. - STAMPA. - (2013), pp. 562-569. (Intervento presentato al convegno 4th International IEEE Workshop on 3D Representation and Recognition (3dRR-13) tenutosi a Sydney, Australia nel 8 Dicembre 2013) [10.1109/ICCVW.2013.78].
The mesh-LBP: computing Local Binary Patterns on Discrete Manifolds
BERRETTI, STEFANO;DEL BIMBO, ALBERTO;PALA, PIETRO
2013
Abstract
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, reporting also the application of mesh-LBP to the problem of 3D texture-classification in comparison to standard 3D surface descriptors.File | Dimensione | Formato | |
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