3D Face Recognition using iso-Geodesic Surfaces

In this paper, we propose an original framework for description and matching of three dimensional faces for recognition. Basic traits of a face are encoded by extracting iso-geodesic stripes from the surface of a face model. A compact representation is constructed through a modeling technique capable to express the basic shape of iso-geodesic stripes and quantitatively measure their spatial relationships in the 3D space. This information is encoded in an attributed relational graph. Experimental results on a 3D face database and baseline comparison show that the proposed solution attains high face recognition accuracy and is reasonably robust to facial expression changes.