Lip Tracking Lip Tracking Lip-tracking has become an important issue in both, automatic speech processing and automatic face processing. The model learns patterns of shape variability from a training set. This constrains the model during image search to only deform in ways similar to the training examples.
Image search is guided by a learned grey-level model which describes the intensity around the mouth.
The model captures global intensity variation due to illumination and differences between subjects, and local variation due to mouth opening and visibility of teeth and tongue. It is used during image search to estimate the similarity between the image and the model. Lip-Tracking Examples from the Tulips 1 database. Example for a subject with beard from the M2VTS database.