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

Filareti Tsalakanidou, Sotiris Malassiotis
2010 2010 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video  
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.
doi:10.1109/3dtv.2010.5506261 fatcat:nkaiz46iq5he7mqospskjkpcqm