Werghi, NaoufelTortorici, ClaudioBerretti, StefanoBimbo, Alberto DelI. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp2015-04-272015-04-272015https://doi.org/10.2312/3dor.20151061In this paper, we present and experiment a novel approach for retrieving 3D geometric texture patterns on 2D mesh-manifolds (i.e., surfaces in the 3D space) using local binary patterns (LBP) constructed on the mesh. The method is based on the recently proposed mesh-LBP framework [WBD15]. Compared to its depth-image counterpart, the mesh-LBP is distinguished by the following features: a) inherits the intrinsic advantages of mesh surface (e.g., preservation of the full geometry); b) does not require normalization; c) can accommodate partial matching. Experiments conducted with public 3D models with geometric texture showcase the superiority of the mesh-LBP descriptors in comparison with competitive methods.I.3.5 [Computer Graphics]Computational Geometry and Object ModelingCurvesurfacesolidand object representationsComputing Local Binary Patterns on Mesh Manifolds for 3D Texture Retrieval10.2312/3dor.2015106191-94