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

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2 Author(s)
Tsalakanidou, F. ; Inf. & Telematics Inst., Centre for Res. & Technol. Hellas, Thessaloniki, Greece ; Malassiotis, S.

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:

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

Date of Conference:

7-9 June 2010