Face Feature Localization

We developed a reliable eye center localization algorithm from one color image of a human face. The detection is based on deformable templates, which are only controlled by four parameters. Our algorithm works instantaneously and does not need a preprocessing step like the creation of a database or initial parameters. The experimental results show that the developed technique is very robust under different illumination conditions including pictures of people with glasses and different face sizes. Our algorithm is described here.

We have developed an automatic method for face feature detection using synthetic deformable templates. The algorithm does not require a training procedure or parameter set. It can be applied to images with different sizes of the face area. Iris-pupil centers, mouth corners and mouth inner lip line are robustly found with high accuracy from one still image. This automatic process allows to set up an advanced video conference system that uses 3D head models of the participants to synthesize new views. Our algorithm is described here.