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...

Face recognition technology has been a focus both in academia and industry for the last couple of years because of its wide potential applications and its importance to meet the security needs of today’s world. Most of the systems developed are based on 2D face recognition technology, which uses pictures for data processing. With the development of 3D imaging technology, 3D face recognition eme...

This Ph.D thesis work is dedicated to 3D facial surface analysis, processing as well as to the newly proposed 3D face recognition modality, which is based on mapping techniques. Facial surface processing and analysis is one of the most important steps for 3D face recognition algorithms. Automatic anthropometric facial features localization also plays an important role for face localization, fac...

Face recognition has been an interesting issue in pattern recognition over the past few decades. In this paper, we propose a new method for face recognition using 3D information. During preprocessing, the scanned 3D point clouds are first registered together, and at the same time, the regular meshes are generated. Then the novel shape variation representation based on GaussianHermite moments (G...

This study assessed whether presenting 3D face stimuli could facilitate children's facial expression recognition. Seventy-one children aged between 3 and 6 participated in the study. Their task was to judge whether a face presented in each trial showed a happy or fearful expression. Half of the face stimuli were shown with 3D representations, whereas the other half of the images were shown as 2...

Recognition of faces typically occurs via holistic processing where individual features are combined to provide an overall facial representation. However, when faces are inverted, there is greater reliance on featural processing where faces are recognized based on their individual features. These findings are based on a substantial number of studies using 2-dimensional (2D) faces and it is unkn...

One unresolved question about face perception is: what is the role of three-dimensional information in face recognition? In this study, recognition performance was compared across changes in viewpoint in different depth conditions: a 2D condition without stereo information and a 3D condition where stereo information was present (by viewing the same face images as anaglyphs through 3D glasses). ...

by Kyong I. Chang Multiple modality biometric approaches are proposed integrating two-dimensional face appearance with ear appearance, three-dimensional face shape, and the pattern of heat emission on face. A single source biometric recognition method, such as face, has been shown to improve its identification rate by incorporating other biometric sources. The investigation of multi-modal biome...

This paper presents a novel face recognition approach which uses only partial information in the recognition stage. The algorithm is based on an extension of the classical PCA and is called Partial PCA (P2CA). The PCA is a combined 2D-3D scheme which requires 3D face data in the training process but can process 2D pictures in the recognition stage. The strategy has been proven to be very robust...

Biometrics is an emerging area of bioengineering that pursues the characterization of a person by means of something that the person is or produces. Face recognition is a particularly attractive biometric challenge. Most of the face recognition research performed in the past used 2D intensity images. However, algorithms based on 2D images are not robust to changes of illumination in the environ...