In this paper, we propose an original framework for description and matching of three dimensional faces for recognition. Basic traits of a face are encoded by extracting iso-geodesic stripes from the surface of a face model. A compact representation is constructed through a modeling technique capable to express the basic shape of iso-geodesic stripes and quantitatively measure their spatial rel...

We describe the 3D Twins Expression Challenge (“3D TEC”) problem in the area of 3D face recognition. The supporting dataset contains 3D scans of pairs of identical twins taken with two different facial expressions, neutral and smiling. The dataset is smaller than the FRGC v2 [1] dataset by approximately a factor of ten, but is still more challenging than the FRGC v2 dataset due to it containing...

We propose an automatic pose invariant approach for Face Recognition At a Distance (FRAD). Since face alignment is a crucial step in face recognition systems, we propose a novel facial features extraction model, which guides extended ASM to accurately align the face. Our main concern is to recognize human faces under uncontrolled environment at far distances accurately and fast. To achieve this...

3D image data provide several advantages than 2D data for face recognition and overcome many problems with 2D intensity images based methods. In this paper, we propose a novel approach to 3D-based face recognition. First, a novel representation, called intrinsic features, is presented to encode local 3D shapes. It describes complementary nonrelational features to provide an intrinsic representa...

Human biometric characteristics are unique, so it can not be easily duplicated [1]. Such information includes; facial, hands, torso, fingerprints, etc. Potential applications, economical efficiency, and user convenience make the face detection and recognition technique an important commodity compared to other biometric features [2], [3]. It can also use a low-cost personal computer (PC) camera ...

This paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a novel algorithm for estimation of ear points. Firstly, the proposed method achieves facial feature detection, in which an edge map based algorithm...

In this paper, the exploration of new face recognition technology that is 3D face recognition is being analyzed. Face Recognition is widely used for security at many places like airport, organizations, many devices etc. The challenges faced in 2D face recognition technology is been solved through various approaches mentioned in the paper. The various implementation approaches widely accepted is...

Automatic recognition of people is a challenging problem which has received much attention during the recent years [FRHomepage, AFGR, AVBPA] due to its potential applications in different fields such as law enforcement, security applications or video indexing. Face recognition is a very challenging problem and up to date, there is no technique that provides a robust solution to all situations a...

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...

by Timothy C. Faltemier Face recognition is one of the least intrusive modalities in biometrics. Our research shows that using 3D face data for recognition provides a promising route to improved performance. In this dissertation, we introduce a new system for 3D face recognition that addresses many of the current challenges preventing this technology from becoming viable. The first challenge is...