表情识别

1型强直性肌营养不良患者的面部表情识别与CTG的重复扩增相关

Facial emotion recognition in myotonic dystrophy type 1 correlates with CTG repeat expansion

此外，本文还基于粗糙集理论，结合集成学习理论，对人脸表情识别方法进行研究。

Furthermore , efficient emotion recognition methods are also studied based on rough set theory and ensemble learning .

基于优化的BP神经网络在表情识别中的研究

Research of Expression Recognition Based on Optimized BP Neural Network

基于人脸局部特征和SVM的表情识别

A Face Expression Recognition Method Based on Face Features and Support Vector Machine

基于遗传算法进化的SVM人脸表情识别

Expression Recognition Based on SVM with GA Evolution

基于类内分块PCA方法的人脸表情识别

Human face expression recognition based on within-class modular PCA

基于自动分割的局部Gabor小波人脸表情识别算法

Facial expression recognition algorithm based on local Gabor wavelet automatic segmentation

基于Gabor小波变换和两次DCT的人脸表情识别

Facial Expression Recognition Based on Gabor and Two Times DCT

一种基于Fisher准则的二维主元分析表情识别方法

A Novel Two-Dimensional PCA Facial Expression Recognition Method Based on Fisher Ratio

基于改进光流和HMM的人脸表情识别研究

The Research on Facial Expression Recognition Based on Optical Flow and HMM

一种基于Gabor小波特征的人脸表情识别新方法

New Approach for Facial Expression Recognition Based on Gabor Features

基于FLD特征提取的SVM人脸表情识别方法

The Expression Recognition Method of SVM Based on FLD Extracting Feature

一种基于局部Gabor滤波器组及PCA+LDA的人脸表情识别方法

Facial Expression Recognition Based on Local Gabor Filter Bank and PCA + LDA

基于Gabor小波的人脸表情识别

Facial Expression Recognition Based on Gabor Wavelet Transform

面向表情识别的AVR和增强LBP特征选择方法

AVR and enhanced LBP feature selection method for facial expression recognition

基于Gabor滤波的多分类器集成人脸表情识别

Facial Expression Classification Based on Gabor Filters

研究了基于SNE降维和SVM作为分类器的人脸表情识别方法。

A facial expression recognition method based on SNE and SVM was studied .

提出一种基于特征点LBP信息的表情识别方法。

First , the LBP feature in facial expression recognition is presented .

特征点LBP信息在表情识别中的应用

Application of LBP information of feature-points in facial expression recognition

基于嵌入式HMM的脸部表情识别

Facial Expression Recognition Using Embedded HMM

基于改进ODP和Gabor小波相结合的表情识别

Expression Recognition Based on Improved ODP and Gabor Wavelets

第三，建立了基于HMM的人脸表情识别系统，并通过实验得到了初步识别结果。

Finally , this thesis builds a facial recognition system based on HMM and gets the results through experiments .

在表情识别过程中，本文采用面部几何特性和SVM方法生成表情分类器，实现对人脸表情的自动分类。

Proposed a pre-classification method for face expression recognition based on facial feature geometry characteristics and recognized the facial expressions with the SVM . 4 .

实验结果表明了该方法能有效提高面部表情识别率，有效解决HMM参数估计问题。

Experimental results show that the new method provides satisfactory recognition performance and the method is powerful for HMM parameter estimation .

提出了一种新的基于双决策子空间和径向基函数（RBF）神经网络的人脸表情识别方法。

A facial expression recognition method based on double discriminant subspace and Radial Basis Function Neural Network ( RBFNN ) is proposed in this paper .

在特征提取环节中，Gabor特征是一种纹理特征，是在人脸表情识别中最为成功的提取提取方法之一。

As a kind of texture presentation feature , Gabor feature is a successful feature extraction method in facial expression recognition field .

设计了一个人机情感交互的程序，通过ASR机器人来验证人脸表情识别，在不同的人脸表情库上对比识别效果。

We design a program of human-computer emotional interaction . It is verified through the ASR robot in different facial expression databases .

实验证明本文提出的融合二维Gabor小波变换和PCA+FLD特征降维的SVM表情识别算法是一种较好的人脸表情识别方法。

Experiments show that the method of SVM expression recognition based on the proposed fusion two Gabor-dimensional wavelet transform and PCA + FLD is a better method in facial expression recognition .

研究了基于不同尺度不同方向Gabor特征融合的人脸表情识别，并与分数阶域特征融合进行了比较。

This paper also discusses the facial expression recognition based on fusion of different orientations and scales of Gabor features and compares it with that based on multi-order of FrFT .

然后用直方图均衡化、中心化等方法使得最终的图像具有相同的灰度均值和方差。（2）把独立成分分析算法引入到表情识别领域中，提出了基于ICA的人脸表情识别算法。

Histogram equalization is used to make all the cropped pictures have the same variance . Secondly , we introduce the basic theory of Independent Component Analysis ( ICA ) in detail , and present an algorithm based on ICA .