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Authors: Ahmed Rekik 1 ; Achraf Ben-Hamadou 2 and Walid Mahdi 1

Affiliations: 1 Sfax University and Multimedia InfoRmation systems and Advanced Computing Laboratory (MIRACL), Tunisia ; 2 Paris-Est University, LIGM (UMR CNRS) and Center for Visual Computing, France

ISBN: 978-989-8565-48-8

Keyword(s): 3D Face Tracking, RGB-D Cameras, Visibility Constraint, Photo-consistency, Particle Filter.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: This paper presents a new method for 3D face pose tracking in color image and depth data acquired by RGB-D (i.e., color and depth) cameras (e.g., Microsoft Kinect, Canesta, etc.). The method is based on a particle filter formalism and its main contribution lies in the combination of depth and image data to face the poor signal-to-noise ratio of low quality RGB-D cameras. Moreover, we consider a visibility constraint to handle partial occlusions of the face. We demonstrate the accuracy and the robustness of our method by performing a set of experiments on the Biwi Kinect head pose database.

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Paper citation in several formats:
Rekik, A.; Ben-Hamadou, A. and Mahdi, W. (2013). 3D Face Pose Tracking using Low Quality Depth Cameras.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 223-228. DOI: 10.5220/0004220202230228

@conference{visapp13,
author={Ahmed Rekik. and Achraf Ben{-}Hamadou. and Walid Mahdi.},
title={3D Face Pose Tracking using Low Quality Depth Cameras},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={223-228},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004220202230228},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - 3D Face Pose Tracking using Low Quality Depth Cameras
SN - 978-989-8565-48-8
AU - Rekik, A.
AU - Ben-Hamadou, A.
AU - Mahdi, W.
PY - 2013
SP - 223
EP - 228
DO - 10.5220/0004220202230228

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