@inproceedings{81d090a60b054bdda094dcb313774a65,
title = "Computing local binary patterns on mesh manifolds for 3D texture retrieval",
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.",
author = "Naoufel Werghi and Claudio Tortorici and Stefano Berretti and \{Del Bimbo\}, Alberto",
note = "Publisher Copyright: {\textcopyright} The Eurographics Association 2015.; 8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015 ; Conference date: 02-05-2015 Through 03-05-2015",
year = "2015",
doi = "10.2312/3DOR.20151061",
language = "British English",
series = "Eurographics Workshop on 3D Object Retrieval, EG 3DOR",
pages = "91--94",
editor = "Michela Spagnuolo and \{Van Gool\}, Luc and Ioannis Pratikakis and Theoharis Theoharis and Remco Veltkamp",
booktitle = "EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval",
}