In this paper a new complete system for 3D face recognition is presented. 3D face recognition presents several advantages against 2D face recognition, as, for example, invariance to illumination conditions. The proposed system makes use of a stereo methodology, that does not require any expensive range sensors. The 3D image of the face is modelled using Multilevel B-Splines coefficients, that a...

Our face is our password—face recognition promises to revolutionize the way we identify individuals in a nonintrusive and convenient manner. Even though research in face recognition has spanned over nearly three decades, only 2D systems, with limited adoption to practical applications, have been developed so far. The primary reason behind this is the low accuracy of 2D face recognition systems ...

-Biometrics is the area of bioengineering that pursues the characterization of individuals in a population (e.g., a particular person) by means of something that the individual is or produces. Among the different modalities in biometrics, face recognition has been a focus in research for the last couple of decades because of its wide potential applications and its importance to meet the securit...

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...

This report is concerned with understanding the interplay between 3D face reconstruction and recognition. We provide analysis for the effect of adaptive sparse 3D reconstructions on recognition rate. This work illustrates that, for 3D face recognition, a proper mesh containing nearly 2% of the facial information and about 5 times the initial/root mesh provides similar recognition rate as one wi...

-Biometric recognition is the research field which pursues the association of a person’s identity with the biological characteristics or the behavioral characteristics of that person. Face recognition is preferred by many researchers in biometrics because of its noninvasiveness and its naturalness. In this paper, face recognition using 3D scans is explored. Comparing with 2D face recognition, w...

This paper introduces a bi-modal face recognition approach. The objective is to study how combining depth and intensity information can increase face recognition precision. In the proposed approach, local features based on LBP (Local Binary Pattern) and DLBP (Depth Local Binary Pattern) are extracted from intensity and depth images respectively. Our approach combines the results of classifiers ...

Face Recognition: face in video, age invariance, and facial marks By Unsang Park Automatic face recognition has been extensively studied over the past decades in various domains (e.g., 2D, 3D, and video) resulting in a dramatic improvement. However, face recognition performance severely degrades under pose, lighting and expression variations, occlusion, and aging. Pose and lighting variations a...

With the development of computer vision and computer graphics, face recognition technology has gradually developed from 2D to 3D. Using in-depth information of faces, 3D face recognition solves and overcomes the environment and changes in the expression that 2D face recognition encounters. In this paper, the principles of laser triangulation measurement applied in 3D detection and modeling of f...