Facial Feature Extraction with Its Applications

Model-Based Facial Feature Extraction

Automatic Detection of Facial Midline And Its Contributions To Facial Feature Extraction

We propose a novel approach for detection of the facial midline from a frontal face image. Using midline as a guide reduces computational cost required for facial feature extraction (FFE) because the midline is capable of restricting multi-dimensional searching process into one-dimensional search. The proposed method detects the facial midline from an edge image as the symmetry axis using the g...

Feature Extraction Methods & Applications

There are numerous methods to classification of feature types. Imagine provides classification models in addition to texture features and convolution methods that assist in detecting various feature types. Using ESRI's ArcView and ArcGIS Feature Analyst extension, the process of feature extraction is readily accessible and user-friendly to the analyst. But, in general, road detection, specifica...

Facial Expression Feature Extraction Based on FastLBP

The methods of facial expression feature extraction based on traditional LBP have some drawbacks such as complexity, high dimension of feature vectors, which may reduce the efficiency of subsequent recognition process. To solve the above problems, this paper proposes an improved LBP algorithm——FastLBP(FLBP). FLBP compresses the feature vectors described by LBP histogram to decrease the complexi...

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...