Challenging Aspects for Facial Feature Extraction and Age Estimation

Group-aware deep feature learning for facial age estimation

In this paper, we propose a group-aware deep feature learning (GA-DFL) approach for facial age estimation. Unlike most existing methods which utilize hand-crafted descriptors for face representation, our GA-DFL method learns a discriminative feature descriptor per image directly from raw pixels for face representation under the deep convolutional neural networks framework. Motivated by the fact...

Facial Feature Extraction for Application Program

In this paper suggests to define 20 facial features being used in practical program and the method of extraction of 20 facial features from 2D image. The experimental image is to be restricted to input one person's image, background of the image can be taken in anywhere, the lighting condition is not uniform, and there is no racial restriction. The suggested method is to seek facial candidate r...

Facial Feature Extraction Techniques for Face Recognition

Face recognition is one of the biometric techniques used for identification of humans. The design of the face recognition system includes two basic steps. The first step is the extraction of the image’s features and the second one is the classification of patterns. Feature extracting is a very important step in face recognition. The recognition rate of the system depends on the meaningful data ...

Automatic Facial Feature Extraction for Face Recognition

Facial feature extraction consists in localizing the most characteristic face components (eyes, nose, mouth, etc.) within images that depict human faces. This step is essential for the initialization of many face processing techniques like face tracking, facial expression recognition or face recognition. Among these, face recognition is a lively research area where it has been made a great effo...

Model-Based Facial Feature Extraction