Automatic Extraction of Lip Feature Points
Authors: Roland Göcke, J Bruce Millar, Alexander Zelinsky,
and Jordi Robert-Ribes
Presented by Roland Göcke at the Australian Conference on
Robotics and Automation ACRA 2000, Melbourne, Australia,
30 August - 1 September 2000
Abstract
We present a novel algorithm for the robust and reliable automatic
extraction of lip feature points for speechreading. The algorithm
uses a combination of colour information in the image data and
knowledge about the structure of the mouth area to find certain
feature points on the inner lip contour. A new confidence measure
quantifying how well the feature extraction process worked is
introduced. A parameter set describing the shape of the mouth is
derived from the positions of the feature points. Using a stereo
camera system, measurements are in 3D. Such a 3D parameter set is of
great value for automatic speech-reading systems.
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