Facial landmarks detection using 3D constrained local model on mesh manifold

Marwa C. El-Rai, Claudio Tortorici, Hassan Al-Muhairi, Naoufel Werghi, Marius Linguraru

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

3 Scopus citations

Abstract

This paper proposes a novel 3D Constrained Local Models (CLM) approach applied for the detection of facial landmarks in 3D images. This approach capitalizes on the properties of Independent Component Analysis (ICA) to define appropriate priors of a face Point Distribution Model. Tailored to the mesh manifold modality, this approach address the limitations of the depth images which require pose normalization and suffer from the loss of the shape information caused by 2D projection. We validate this framework through a series of experiments conducted with the public Bosporus database, whereby it demonstrates a competitive performance compared to other state of the art methods.

Original languageBritish English
Title of host publication2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509009169
DOIs
StatePublished - 2 Jul 2016
Event59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates
Duration: 16 Oct 201619 Oct 2016

Publication series

NameMidwest Symposium on Circuits and Systems
Volume0
ISSN (Print)1548-3746

Conference

Conference59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period16/10/1619/10/16

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