Extending LBP and Convolution-Like Operations on the Mesh

Claudio Tortorici, Naoufel Werghi, Stefano Berretti

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

2 Scopus citations

Abstract

Extending the concept of texture to the geometry of a mesh manifold surface is an emerging topic in image processing. This concept is different from gluing images to the surface, but rather indicates the presence of relief patterns that locally change the surface geometry, showing some regular and repetitive pattern. In this paper, we propose an efficient and effective framework to address this novel task, which encompasses the convolution operation and the casting of a variety of Local Binary Pattern on the mesh manifold. Results show that our technique outperforms the existing state-of-the-art methods in the challenging task of relief patterns classification.

Original languageBritish English
Title of host publication2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
PublisherIEEE Computer Society
Pages4479-4483
Number of pages5
ISBN (Electronic)9781538662496
DOIs
StatePublished - Sep 2019
Event26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan, Province of China
Duration: 22 Sep 201925 Sep 2019

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2019-September
ISSN (Print)1522-4880

Conference

Conference26th IEEE International Conference on Image Processing, ICIP 2019
Country/TerritoryTaiwan, Province of China
CityTaipei
Period22/09/1925/09/19

Keywords

  • LBP
  • mesh convolution
  • Relief patterns

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