Abstract
We present a novyl algorithm for the robust and reliable automatic extraction of lip featu;re points for speechreading. The algorithm uses a combination of colour information in the im- age data and knowledge about the structure of the mouth area to find certain feature points on the inner lip contour. A new confidence mea- sure 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.
Cite
CITATION STYLE
Göecke, R., Millar, J. B., Zelinsky, A., & Robert-Ribes, J. (2000). Automatic Extraction of Lip Feature Points. Australian Conference on Robotics & Automation (ACRA), (Figure 1), 31–36. Retrieved from http://www.araa.asn.au/acra/acra2000/
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