Abstract
In this paper, we present a new method of a feature extraction and face recognition for 3D human facial models extracted by 3D range scanner. We extract typical feature points from 3D model by combining physical feature parameters such as 3D curvatures and normal vectors with texture features. These feature parameters are stored in facial model database and face identification can be realized by constructing spring surface among these points, calculate spring energy between feature points and database facial models to find correspondance model.
