Automatic features detection for overlapping face images on their 3D range models

We describe an algorithm for automatic features detection in 2D color images of human faces. The algorithm proceeds with subsequent refinements. First, it identifies the sub-images containing each feature (eyes, nose and lips). Afterwards, it processes the single features separately by a blend of techniques which use both color and shape information. The method does not require any manual setting or operator intervention.