3D Anthropometric Signatures for Face Verification

Abstract

In this paper we propose a new geometric method for 3D face recognition based on anthropometric measurements. 3D facial feature points are measured by stereovision and are used to construct a 3D signature containing distances, indices and angles between these points, in order to discriminate individuals. This approach is evaluated on the new IV2 database and results are presented an discussed.