A personal identiication system based on the analysis of frontal or proole images of the face has applications in human-computer interfaces, access control , surveillance etc. Among many practical face recognition schemes, image based approaches are possibly the most promising ones. However, the 2D im-ages/patterns of 3D face objects can change dramatically due to lighting and viewing variation...

In this paper, we present a new 3D dynamic face dataset dedicated to the development and test of algorithms which target face recognition under unconstrained conditions, from 3D videos. Several challenges which can occur in real world like scenarios are considered, such as continuous and freely-pose variation, expressive and talking faces, changes of the distance to the 3D camera, occlusions an...

Rapid development of 3D scanning technologies lead researchers to use them for people recognition, cameras are faster, models are less noisy and with higher resolution. 3D facial models have been widely used for many biometrics applications. Nevertheless 3D face recognition topics mainly assume that scans contain a face and the face is mostly in a frontal position. In real world we might have a...

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. In cortical area V1 exist double-opponent colour blobs, also simple, complex and end-stopped cells which provide input for a multiscale line/edge representation, keypoints for dynamic routing and saliency maps for Focus-of-Attention. All these combined allow us to segrega...

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...

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...

INTRODUCTION Since 1915, various researchers have tried to make a 3-dimensional (3D) model of the complete face, with the dentition in the anatomically correct position. This was a difficult and time-consuming process. With the introduction of 3D digital imaging of the face and dental casts, researchers have regained interest in this topic. The purpose of this technical report is to present a f...

It is very important for virtual character designers to generate 3D face models interactively and creatively in real-time. This paper investigates the use of sketch-based interface in 3D face modeling and focuses on how to map 2D sketchy features onto a 3D model. A mapping mechanism on the basis of contour lines is proposed. Representative points of the input are extracted, which retain the glo...

3D face recognition is a promising alternative to face the problem of recognizing 2D robustness. Therefore, the main advantage of 3D face recognition-based approach uses all the information on the geometry of the face, which allows us to get an accurate representation of the face. In the proposing contribution all distinctive facial features are captured by first extracting SIFT (Scale Invarian...

This paper presents real time face detection and recognition system and also an efficient technique to train the database. The algorithm used is of stereo-face detection in video sequences. A stereo face is a face of man presented by the set of images obtained from different points of views such data can be used for face of man presented by the set of images obtained from different points of vi...