Landmarks detection on 3D face scans using local histogram descriptors

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

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

2 Scopus citations

Abstract

In this work, we exploit 3D Constrained Local Model (CLM) for facial landmark detection. Our approach integrates the geometric information of 3D face scans. The fast increase demand of 3D data invite to develop 3D image processing methods for many applications and especially for automatic landmark detection. The new step in this paper is the introduction of mesh histogram of gradients (meshHOG) as local descriptors around every landmark location. The proposed work is evaluated on the publicly available Bosphorus database. A comparison with the other descriptors mesh LBP and mesh SIFT are also depicted.

Original languageBritish English
Title of host publicationProceedings of the 18th Mediterranean Electrotechnical Conference
Subtitle of host publicationIntelligent and Efficient Technologies and Services for the Citizen, MELECON 2016
EditorsConstandinos Mavromoustakis, Soulla Louca, Constantinos S. Pattichis, Julius Georgiou, Despina Michael, A. Paschalidou, Efthyvoulos Kyriacou, Vasos Vassiliou, Christos Panayiotou, Elias Kyriakides, Georgios Ellinas, George Hadjichristofi, C. Loizou
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509000579
DOIs
StatePublished - 20 Jun 2016
Event18th Mediterranean Electrotechnical Conference, MELECON 2016 - Limassol, Cyprus
Duration: 18 Apr 201620 Apr 2016

Publication series

NameProceedings of the 18th Mediterranean Electrotechnical Conference: Intelligent and Efficient Technologies and Services for the Citizen, MELECON 2016

Conference

Conference18th Mediterranean Electrotechnical Conference, MELECON 2016
Country/TerritoryCyprus
CityLimassol
Period18/04/1620/04/16

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