Facial feature point extraction method based on combination of shape extraction and pattern matching

Facial feature point extraction method based on combination of shape extraction and pattern matching

In this paper, we propose a method for fast and accurate extraction of feature points such as pupils, nostrils, mouth edges, and the like from dynamic images with the purpose of face recognition. Accuracy of face extraction with these feature points used as criteria greatly affects the capabilities of face recognition methods based on pattern matching. This processing must be performed rapidly,...

Facial Feature Extraction using Deformable Graphs and Statistical Pattern Matching

In model-based coding of image sequences containing human faces, e.g., videophone sequences, the detection and location of the face as well as the extraction of facial features from the images are crucial. The facial feature extraction can be regarded as a optimization problem, searching the optimum adaptation parameters of the model. The optimum is defined as the minimum distance between the e...

Real-Time Facial Feature Point Extraction

Extract of facial feature points has become an important issue in many applications, such as face recognition, expression recognition, and face detection. A method of facial feature extraction-based and corner detection is presented in this paper. In this method develop a technique for extracting the facial features from a color image captured by the online webcam, under normal lighting conditi...

Model-Based Facial Feature Extraction

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...