搜索资源列表
2DPCA_Matlab_Codes_PAMI_2004
- 这里面的代码是2DPCA的。这篇文章发表在PAMI上,Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition.google搜索已经引用681次。这里的代码是原作者的。这个分类不太好，语音识别是最近的，这是模式识别里的经典算法。-matlab code of 2DPCA
ImprovementonPCAand2DPCA
- A good paper about 2 dimensional PCA and face recognition
2D-PCA
- FACE RECOGNITION USING K-L TRANSFORM on ORL face database
LBPandPCA
- 为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon
pca
- 基于主成分分析的人脸特征提取的MATLAB源代码，通过测试的-Principal component analysis based on human face feature extraction MATLAB source code, pass the test
Face-Code
- Authentication is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification and has been widely used in many applications, such as video monitor system, human-comp
PCA_based-Face-Recognition-System
- 在matlab上运用PCA的方法进行人脸识别，包括灰度处理，二值化。-In the use of PCA on the method of PCA face recognition, including gray processing, binarization.
vciuk
- 最小均方误差等算法的MSE的计算,Gabor小波变换与PCA的人脸识别代码，基于SVPWM的三电平逆变的matlab仿真。- Minimum mean square error MSE calculation algorithm, Gabor wavelet transform and PCA face recognition code, Based on SVPWM three-level inverter matlab simulation.
andpq
- Gabor小波变换与PCA的人脸识别代码，针对EMD方法的不足,是学习PCA特征提取的很好的学习资料。- Gabor wavelet transform and PCA face recognition code, For lack of EMD, Is a good learning materials to learn PCA feature extraction.
kun_bn60
- 可以广泛的应用于数据预测及数据分析,Gabor小波变换与PCA的人脸识别代码，保证准确无误，是学习通信的好帮手。- Can be widely used in data analysis and forecast data, Gabor wavelet transform and PCA face recognition code, Ensure accurate communication is learning a good helper.
av208
- 供做算法研究人员参考，Gabor小波变换与PCA的人脸识别代码，表示出两帧图像间各个像素点的相对情况。- Algorithm for researchers to do reference, Gabor wavelet transform and PCA face recognition code, Between two images showing the relative circumstances of each pixel.