Mesh LBP features for 3D constrained local model

Marwa Chendeb El Rai, Naoufel Werghi, Claudio Tortorici, Hassan Al-Muhairi, Habiba Al Safar

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

Abstract

We propose an automatic facial landmarks detection in 3D mesh manifold. The method is based on 3D Constrained Local Model (CLM) which learns both global variations in 3D face scan and local ones around every vertex landmark. Differently from the other approaches of CLM, our contribution is a full 3D mesh. The framework exploits the intrinsic 3D features around the mesh vertices by utilizing histogram-based mesh Local Binary Patterns (mesh-LBP). The experiments are conducted on publicly available 3D face scans Bosphorus database.

Original languageBritish English
Title of host publication2015 International Conference on Information and Communication Technology Research, ICTRC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages144-147
Number of pages4
ISBN (Electronic)9781479989669
DOIs
StatePublished - 14 Jul 2015
Event1st International Conference on Information and Communication Technology Research, ICTRC 2015 - Abu Dhabi, United Arab Emirates
Duration: 17 May 201519 May 2015

Publication series

Name2015 International Conference on Information and Communication Technology Research, ICTRC 2015

Conference

Conference1st International Conference on Information and Communication Technology Research, ICTRC 2015
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period17/05/1519/05/15

Keywords

  • 3D Facial landmarks
  • Constrained local model
  • Histograms-based mesh LBP
  • Landmarks detection

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