Computing Local Binary Patterns on Mesh Manifolds for 3D Texture Retrieval

Werghi, Naoufel; Tortorici, Claudio; Berretti, Stefano; Bimbo, Alberto Del

Computing Local Binary Patterns on Mesh Manifolds for 3D Texture Retrieval

Files

091-094.pdf (2.36 MB)

Date

2015

Authors

Werghi, Naoufel
Tortorici, Claudio
Berretti, Stefano
Bimbo, Alberto Del

Publisher

The Eurographics Association

Abstract

In 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.

        @inproceedings{10.2312:3dor.20151061
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp
},
title = {{Computing Local Binary Patterns on Mesh Manifolds for 3D Texture Retrieval
}},
author = {Werghi, Naoufel and 
Tortorici, Claudio and 
Berretti, Stefano and 
Bimbo, Alberto Del
},
year = {2015
},
publisher = {The Eurographics Association
},
ISBN = {},
DOI = {10.2312/3dor.20151061
}
}