Automatic Extraction of Lip Feature Points

Roland GOECKE, J. Bruce Millar, Alexander Zelinsky, Jordi Robert-Ribes

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the Australian Conference on Robotics and Automation ACRA 2000
Place of PublicationMelbourne
PublisherAustralian Robotics & Automation Association
Number of pages6
ISBN (Print)0732621410
Publication statusPublished - 30 Aug 2000
EventAustralian Conference on Robotics and Automation ACRA 2000 - Melbourne, Australia
Duration: 30 Aug 20001 Sep 2000


ConferenceAustralian Conference on Robotics and Automation ACRA 2000
Abbreviated titleACRA 2000


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