The paper proposes a novel, pose-invariant face recognition system based on a deformable, generic 3D face model, that is a composite of: (1) an edge model, (2) a color region model and (3) a wireframe model for jointly describing the shape and important features of the face. The 4rst two submodels are used for image analysis and the third mainly for face synthesis. In order to match the model t...

Face recognition based on 3D techniques is a promising approach since it takes advantage of the additional information provided by the 3D world, i.e. information of depth and of all possible view angles of the face is available making the whole approach more robust against illumination and pose variations. However, these 3D approaches require the cooperation of the person to acquire accurate 3D...

Identity recognition using 3D scans of the face has been recently proposed as an alternative or complementary solution to conventional 2D face recognition approaches based on still images or videos. In fact, face representations based on 3D data are expected to be more robust to pose changes and illumination variations than 2D images, thus allowing accurate face recognition in real-world applic...

Applications related to game technology, law-enforcement, security, medicine or biometrics are becoming increasingly important, which, combined with the proliferation of three-dimensional (3D) scanning hardware, have made that 3D face recognition is now becoming a promising and feasible alternative to 2D face methods. The main advantage of 3D data, when compared with traditional 2D approaches, ...

In this paper, we discuss methods for incorporating data acquired as 3D surface scans of human faces into applications such as 3D animation and biometric 3D facial recognition. In both applications the challenge is to accurately and consistently find predefined features such as the corners of the eyes and the tip of the nose. In the field of biometry, if 3D face recognition is to compete with 2...

Biometric data have been integrated in all ICAO compliant passports, since the ICAO members started to implement the ePassport standard. The additional use of three-dimensional models promises significant performance enhancements for border control points. By combining the geometryand texture-channel information of the face, 3D face recognition systems show an improved robustness while processi...

We address the problem of 3D-assisted 2D face recognition in scenarios when the input image is subject to degradations or exhibits intra-personal variations not captured by the 3D model. The proposed solution involves a novel approach to learn a subspace spanned by perturbations caused by the missing modes of variation and image degradations, using 3D face data reconstructed from 2D images rath...

In face authentication and other face biometric methods, an image of a person can be misclassified if the pose of their face is different than that of the training data unless there are steps taken to eliminate these inaccuracies. The methods in this paper are designed to improve the accuracy of a face authentication system when the pose between the input image and training images are different...

In this paper, a novel 3D Bending Invariant Correlative Features (3D BI-LBP) is used for 3D face recognition to overcome some of the unsolved problems encountered with 3D facial images. In this challenging topic, large expression and pose variations along with data noise are three major obstacles. We first exploit an automatic procedure regarding face area extraction, and then process it to min...

Machine recognition of faces is very challenging because it is an interclass recognition problem and the variation in faces is very low compared to other biometrics. Global features have been extensively used for face recognition however they are sensitive to variations caused by expressions, illumination, pose, occlusions and makeup. We present a novel 3D local feature for automatic face recog...