The spiral facets: A unified framework for the analysis and description of 3D facial mesh surfaces

Naoufel Werghi, Harish Bhaskar, Youssef Meguebli, Haykel Boukadida

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

Abstract

In this paper, we describe a framework for encoding 3D facial triangular mesh surface. We derive shape information from the triangular mesh surface by exploiting specific arrangements of facets in the model. We describe the foundations of the framework and adapt the framework for several original applications including: face landmark detection, frontal face extraction, face orientation and facial surface representation. We validate the framework through experimentation with raw 3D face mesh surfaces and demonstrate that the model allows simpler implementation, more compact representation and encompasses rich shape information that can be usefully deployed both locally and globally across the face in comparison to other standard representations.

Original languageBritish English
Title of host publicationVISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application
Pages30-39
Number of pages10
StatePublished - 2011
EventInternational Conference on Computer Vision Theory and Application, VISAPP 2011 - Vilamoura, Algarve, Portugal
Duration: 5 Mar 20117 Mar 2011

Publication series

NameVISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application

Conference

ConferenceInternational Conference on Computer Vision Theory and Application, VISAPP 2011
Country/TerritoryPortugal
CityVilamoura, Algarve
Period5/03/117/03/11

Keywords

  • 3D face descriptors
  • 3D face orientation
  • Feature localization
  • Geodesic curves
  • Spiral facets

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