In the last decade facial age estimation has grown its importance in computer vision. In this paper we propose an efficient and effective age estimation system from face imagery. To assess the quality of the proposed approach we compare the results obtained by our system with those achieved by other recently published methods on a very large dataset of more than 55K images of people with differ...

Requirement of Project: Face images are being increasingly used as additional means of authentication in applications of high security zone. But with age progression the facial features changes and the database needs to be updated regularly which is a tedious task. So we need to address the issue of facial aging and come up with a mechanism that identifies a person in spite of aging. In my proj...

This paper focuses on automatic age estimation (AAE) from face images, which amounts to determining the exact age or age group of a face image according to features from faces. Although great effort has been devoted to AAE [1, 4, 6], it remains a challenging problem. The difficulties are due to large facial appearance variations resulting from a number of factors, e.g., aging and facial express...

Automatic face age estimation is a challenging task due to its complexity owing to genetic difference, behavior and environmental factors, and also the dynamics of facial aging between different individuals. In this paper, we propose a feature fusion method to estimate the face age via SVR, which ensembles global feature from Active Appearance Model (AAM) and the local feature from Gabor wavele...

Most face applications depend heavily on the accuracy of the face and facial landmarks detectors employed. Prediction of attributes such as gender, age, and identity usually completely fail when the faces are badly aligned due to inaccurate facial landmark detection. Despite the impressive recent advances in face and facial landmark detection, little study is on the recovery from and detection ...

We present a new system for the automatic determination of the position , size and pose of the head of a human gure in a camera image. The system is an extension of the well{known face recognition system WFK] to pose estimation. The pose estimation system is characterized by a certain reliability and speed. We improve this performance and speed with the help of statistical estimation methods. I...

Aiming at the problem of long time-consuming and low accuracy existing age estimation approaches, a new method using Gabor feature fusion, an improved atomic search algorithm for selection is proposed. Firstly, texture features five scales eight directions in face region are extracted by wavelet transform. The statistical histogram introduced to encode fuse directional index with largest value ...

We have developed a fast facial feature point detection and pose estimation system. This system can detect facial points and estimate 3D pose angles in various conditions including facial expression changes and partial occlusion, etc. Only one facial image is needed as input and we don’t need special devices such as a blinking LED or a dual/stereo camera, etc. Moreover, no calibration process i...