Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

We propose a novel geometric framework for analyzing 3D faces, with the specific goals of
comparing, matching, and averaging their shapes. Here we represent facial surfaces by …

Several descriptors have been proposed in the past for 3D shape analysis, yet none of them
achieves best performance on all shape classes. In this paper we propose a novel method …

This paper presents an effective method for 3-D face recognition using a novel geometric
facial representation along with a local feature hybrid matching scheme. The proposed facial …

Abstract 3D face recognition with the availability of only partial data (missing parts,
occlusions and data corruptions) and single training sample is a highly challenging task …

We present a face recognition method based on sparse representation for recognizing 3D
face meshes under expressions using low-level geometric features. First, to enable the …

State-of-the-art 3D shape classification and retrieval algorithms, hereinafter referred to as
shape analysis, are often based on comparing signatures or descriptors that capture the …

In this paper, we present an approach for 3D face recognition from frontal range data based
on the ridge lines on the surface of the face. We use the principal curvature, kmax, to …

In this paper we explore the use of shapes of elastic radial curves to model 3D facial
deformations, caused by changes in facial expressions. We represent facial surfaces by …

Most human expression variations cause a non-rigid deformation of face scans, which is a
challenge today. In this article, we present a novel framework for 3D face recognition that …