Visually Mediated Interaction Using Learnt Gestures and Camera Control
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
Pose classification of human faces by weighting mask function approach
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
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In order to perform coherent and robust interpretation of moving faces, one must resolve the inconsistency and ambiguities observed among multiple sources of highly noisy visual measurements. In this work, we describe a method for perceptual fusion through the estimation of observation covariance. We demonstrate the approach through a working system that performs real-time face detection and tracking in live video sequences. The use of perceptual fusion aims to address the difficult problem of simultaneous 2D face alignment and 3D head pose estimation during tracking.