Automatic 3D Face Recognition Using Topological Techniques

In this paper, we use the three-dimensionaltopological shape information for human face identification. We propose a new method to represent 3D faces as a topological graph. Fine registration of surfaces is done by first automatically finding topological connnected components, and then constructing its topological graph representing the important topological changes on the face. The similarity calculation between 3D faces is processed using coarse-to-fine strategy while preserving the consistency of the graph structures, which result in establishing a correspondance between the parts of faces. The experiments made with a 144 3D faces dataset show the efficiency of our approach.

• Type: Conference
• Year: 2005
• Where: ICMCS
• Authors: Chafik Samir, Jean-Philippe Vandeborre, Mohamed Daoudi
• Keywords: ICMCS 2005, Important Topological Changes, Topological Connnected Components, Topological Graph