Real-time Facial Feature Tracking from 2d+3d Video Streams
نویسندگان
چکیده
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. Index Terms — Face recognition, tracking, feature extraction, geometric modeling
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تاریخ انتشار 2010