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Real-time facial feature tracking from 2D+3D video streams

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2 Author(s)
Filareti Tsalakanidou ; Informatics and Telematics Institute, Centre for Research and Technology Hellas 6th km Charilaou-Thermi Road, Thessaloniki 57001, Greece ; Sotiris Malassiotis

This paper presents a completely automated 3D facial feature tracking system using 2D+3D image sequences recorded by a real-time 3D sensor. It is based on local feature detectors constrained by a 3D shape model, using techniques that make it robust under pose and partial occlusion. Several experiments conducted under relatively non-controlled conditions demonstrate the accuracy and robustness of the approach.

Published in:

2010 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video

Date of Conference:

7-9 June 2010