In this paper, an efficient pose-invariant face recognition method is proposed. This method is multimodal means that it uses 2D (color) and 3D (depth) information of a face for recognition. In the first step, the geodesic distances of all face points from a reference point are computed. Then, the face points are mapped from the 3D space to a new 2D space. The proposed mapping is robust under th...

Many recent events, such as terrorist attacks, have exposed the serious weaknesses in most sophisticated security systems. Three dimensional (3D) human face recognition is emerging as a significant biometric technology. Research interest in 3D face recognition has increased during recent years due to the availability of improved 3D acquisition devices and processing algorithms. In this paper, t...

This paper investigates the enhancement of identification performance when using voice classifier to help 3D face recognition. 3D face recognition is well known for its being superior to 2D due to the invariance in illumination, make-ups and pose. However, it is still challenged by expression variance. The partial ICP method we used for 3D face recognition could implicitly and dynamically extra...

We present an algorithm for 3-D face modeling from a frontal and a profile view images of a person’s face. The algorithm starts by computing the 3D coordinates of automatically extracted facial feature points. The coordinates of the selected feature points are then used to deform a 3D generic face model to obtain a 3D face model for that person. Procrustes Analysis is used to globally minimize ...

Biometric data have been integrated in all new European passports, since the member states of the European Commission started to implement the EU Council Regulation No 2252/2004 on standards for security features and biometrics in passports. The additional integration of three-dimensional models promises significant performance enhancements for border controls. By combining the geometryand text...

In this paper, we address the challenging computer vision problem of obtaining a reliable facial expression analysis from a naturally interacting person. We propose a system that combines a 3D generic face model, 3D head tracking, and 2D tracker to track facial landmarks and recognize expressions. First, we extract facial landmarks from a neutral frontal face, and then we deform a 3D generic fa...

In this paper, we introduce a new approach for realtime 3D face pose discrimination based on active IR illumination from a monocular view of the camera. Under the IR illumination; the pupils appear bright. We develop algorithms for efficient and robust detection and tracking pupils in real time. Based on the geometric distortions of pupils under different face orientations, an eigen eye feature...

Traditional 2D face recognition based on optical (intensity or color) images faces many challenges, such as illumination, expression, and pose variation. In fact, the human face generates not only 2D texture information but also 3D shape information. In this paper, the objective is to investigate what contributions depth and intensity information make to the solution of face recognition problem...

We investigate the utility of 3D facial landmark localisation in addressing the varying pose problem in 3D face recognition. We do not focus on the 3D landmark localisation problem itself, rather, we ask: Given the set of salient landmarks visible at some specific pose, what 3D face recognition performance can we expect, given that statistical training was performed at some other (canonical) po...

The authors explore the possibilities of a dense model-free three-dimensional (3D) face reconstruction method, based on image sequences from a single camera, to improve the current state of forensic face comparison. They propose a new model-free 3D reconstruction method for faces, based on the Lambertian reflectance model to estimate the albedo and to refine the 3D shape of the face. This metho...