The mesh-LBP: Computing local binary patterns on discrete manifolds

Naoufel Werghi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

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, %and the potentials for analyzing a variety of triangular mesh surfaces, reporting also the application of mesh-LBP to the problem of 3D texture-classification in comparison to standard 3D surface descriptors.

Original languageBritish English
Title of host publicationProceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages562-569
Number of pages8
ISBN (Print)9781479930227
DOIs
StatePublished - 2013
Event2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013 - Sydney, NSW, Australia
Duration: 1 Dec 20138 Dec 2013

Publication series

NameProceedings of the IEEE International Conference on Computer Vision

Conference

Conference2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013
Country/TerritoryAustralia
CitySydney, NSW
Period1/12/138/12/13

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