Eigenfaces is one of the most popular method in face feature extraction and recognition.
特征脸法是一种常用的人脸特征提取和识别方法。
Based on principal component analysis (pca) Face Feature Extraction MATLAB implementation.
基于主元分析(pca)的人脸特征提取MATLAB实现。
In this paper, a method based on within-class average faces of two-dimensional PCA is proposed for face feature extraction.
该文提出了一种基于二维pca的类内平均脸方法进行人脸的特征提取。
The main work in this paper include: side face image detection, side face feature extraction and side face recognition and so on.
本文工作包括：侧面人脸的检测与定位，侧面人脸面部特征的定位与提取和侧面人脸的识别等内容。
A facial expression recognition system contains face detection, face feature extraction, feature selection and expression classification.
表情识别系统包括人脸检测、人脸特征提取、特征选择以及表情分类等几部分。
In addition, whether face detection and classification, if a better face feature data are selected and effective method of face feature extraction is a prerequisite to ensure good results.
另外，不管是人脸检测与分类，若有较好的人脸特征数据，即选取有效的人脸特征提取方法，是保证效果良好的前提。
According to the feature of ear and its position on the side face a method based on edge-tracking was adopted for human ear localization and extraction from side face images.
根据外耳及其所在位置的特征，提出了一种从侧脸图像上准确定位并提取出人耳的新方法。
This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.
本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。
According to features of edge gradient maps of face images, a new eye feature extraction algorithm based on gradient vector flow field was proposed.
根据人脸图像的边缘梯度图提出了一种新的基于梯度向量流场的眼睛特征提取方法。
And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization (NMF) is presented.
并在特征提取环节，提出CSVD算法与非负矩阵因子算法特征数据相融合的人脸识别算法。
This paper proposed a new feature extraction method, that face feature is extracted based on projections on the 2dpca and B2DLDA.
本文提出一种新的特征提取方法，人脸图像在2dpca投影的基础上进行B2DLDA投影提取出人脸特征。
Face recognition includes three parts: face detection and localization, feature extraction and classification.
人脸识别主要包括三方面的内容：人脸检测与定位，特征提取，分类与识别。
This system includes video capture module, the face detect module, the feature extraction module and the face recognition module.
本系统包括视频捕获模块，人脸检测模块，特征提取模块及人脸识别模块。
At first we propose a new algorithm for face recognition. And then, we can find the advantage of using this approach in facial feature extraction through the analysis of related experiment results.
先提出一种人脸识别的算法，然后通过实验数据分析，得出这种算法更能有效提取人脸特征。
The face feature will change if the gesture of the person, the light, the imaging condition changes. All this harder the extraction of the face feature.
人脸特征随着人脸在不同姿态、不同光照和其他如遮挡、不同成像条件下，会产生许多不同的情况，增加了特征提取的难度。
Therefore, feature extraction for face recognition, not only to detect these features, but also to accurately locate.
因此对于人脸识别中的特征提取来说，不仅要检测出这些特征，而且要准确地加以定位。
Generally speaking, the face recognition system consists of face detection. feature piont location, image pre-processing, feature extraction and face recognition.
一般来说，人脸识别系统包括人脸检测、特征点定位、图像预处理、人脸特征提取以及人脸识别。
The thesis has made a series of researching on face recognition-related problems, including automatic face detection, feature extraction, face recognition.
本文对于人脸检测、识别等问题进行了研究，针对视频中彩色图像提出了一种有关局部特征提取以及人脸识别的新方法。
Absrtact: Non - negative matrix factorization (NMF) is a method of parts - based feature extraction, it has been already applied to face recognition successfully.
摘要：非负矩阵分解方法是基于局部特征的特征提取方法，已经成功用于人脸识别。
We present a fully automated algorithm for facial feature extraction and 3D face modeling from a pair of orthogonal frontal and profile view images of a person's face taken by calibrated cameras.
提出一种全自动面部特征提取算法模型和三维人脸从侧面和正面的正交的人的脸被标定相机。
Feature extraction is the key to face recognition. An effective feature extraction method not only helps to simplify the classification of follow-up design, but also can enhance the recognition rate.
这里特征提取是人脸识别的关键环节，有效的人脸特征提取方法不仅有助于简化后续的分类器设计，而且能够提高识别率。
A complete Human Face Recognition System should include Human Face Detection, Feature Extraction, and Match Recognition.
一个完整的人脸识别系统包括人脸检测、特征提取、以及匹配识别。
Feature extraction method of face image, which boasts simplicity and high recognition rate, is proposed.
提出一种简单且识别率高的分块分色的人脸图像特征抽取方法。
Face Recognition System vs environment. Very detailed code. Including recognition of the whole process. Face detection, feature extraction, classification, face recognition.
人脸识别系统，很期待这样的代码，希望可以学习其中的方法。
The result of face recognition experiment shows that it has powerful ability of feature extraction.
试验结果表明，该鉴别准则具有良好的鉴别能力。
Face recognition is an important problem in the field of pattern recognition and robot vision. And Feature Extraction is an important part of it.
人脸识别是模式识别和机器视觉领域中的一个重要课题，其中，特征提取是人脸识别中的一个重要部分。
Face recognition is an important problem in the field of pattern recognition and robot vision. And Feature Extraction is an important part of it.
人脸识别是模式识别和机器视觉领域中的一个重要课题，其中，特征提取是人脸识别中的一个重要部分。
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