搜索资源列表
face
- this book explains the face recognition algorithm using gabor wavelet
FaceRecognitionBasedOnGaborWaveletAndManifold
- 基于Gabor小波和流形的人脸识别研究，本文较好的给出了人聊识别方面的研究，有一定的参考价值 -Manifolds based on Gabor wavelet and face recognition, this paper gives a better recognition of people talk of research, there is some reference value
anamanaprojectyy.doc
- this the complete descr iption of impact of gabor filtering on face recognition after apllyng PCA technique-this is the complete descr iption of impact of gabor filtering on face recognition after apllyng PCA technique
Gabor-Magnitude-and-Phase-for-Face
- This paper proposes local Gabor XOR patterns (LGXP), which encodes the Gabor phase by using the local XOR pattern (LXP) operator. Then, we in-troduce block-based Fisher’s linear discriminant (BFLD) to reduce the dimensionality of the proposed des
Gabor
- 人脸识别，Gabo:小波，伽玛分布，广义高斯分布，子模式技术，二维局部保持映射 -Face Recognition, Gabor Wavelet, Gamma Distribution, Generalized Gaussian Distribution, Sub-pattern Technique, Two-dimensional Locality Preserving Projections
Gabor
- gabor detector for image processing and face recognition
An_Improved_Face_Recognition_Algorithm_through_Ga
- An Improved Face Recognition Algorithm through Gabor Filter Adaptation
25292626
- 为了实现复杂环境下的人脸特征有效表达，提出一种改进的梯度方向直方图（ＨＯＧ）人脸识别方法．首先以人脸图像网格作为采样窗口并在其上提取 ＨＯＧ特征；然后将所有网格 ＨＯＧ特征向量进行组合，实现整个人脸特 征表达；最后采用最近邻分类器进行识别．另外，比较了该方法与Ｇａｂｏｒ小波和局部二值模式（ＬＢＰ）２种著名的人脸 局部特征表示方法的优劣．实验结果表明，在调优的 ＨＯＧ参数下，在具有光照和时间环境等复杂变化的ＦＥＲＥＴ人 脸库中，较少维数的 ＨＯＧ特征比ＬＢＰ特征有更好的表现，而且 ＨＯ
first-review-report
- This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
sparse-representation-pdf
- This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
good-code
- face recognition using lbp ltp and gabor features code
7250
- 时间序列数据分析中的梅林变换工具，插值与拟合的matlab实现，Gabor小波变换与PCA的人脸识别代码。- Time series data analysis Mellin transform tool, Interpolation and fitting matlab implementation, Gabor wavelet transform and PCA face recognition code.
5207
- 最小均方误差（MMSE）的算法，Gabor小波变换与PCA的人脸识别代码，模式识别中的bayes判别分析算法。- Minimum mean square error (MMSE) algorithm, Gabor wavelet transform and PCA face recognition code, Pattern Recognition bayes discriminant analysis algorithm.
knbxr
- 用谱方法计算流体力学一些流动现象的整体稳定性,Gabor小波变换与PCA的人脸识别代码，随机调制信号下的模拟ppm。- Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Gabor wavelet transform and PCA face recognition code, Random ppm modulated analog s
amhai
- Gabor小波变换与PCA的人脸识别代码，大学数值分析算法，matlab小波分析程序。- Gabor wavelet transform and PCA face recognition code, University of numerical analysis algorithms, matlab wavelet analysis program.
dajbm
- 利用matlab针对图像进行马氏距离计算 ,实现了图像的灰度化并进一步用于视频监视控，Gabor小波变换与PCA的人脸识别代码。- Using matlab to calculate the Mahalanobis distance for the image, Achieve a grayscale image and further control for video surveillance, Gabor wavelet transform and PCA face recognition
jiu-V7.4
- 完整的基于HMM的语音识别系统，Gabor小波变换与PCA的人脸识别代码，利用最小二乘算法实现对三维平面的拟合。- Complete HMM-based speech recognition system, Gabor wavelet transform and PCA face recognition code, Least-squares algorithm to fit a three-dimensional plane.
eipqr
- 相关分析过程的matlab方法，ICA（主分量分析）算法和程序，Gabor小波变换与PCA的人脸识别代码。- Correlation analysis process matlab method, ICA (Principal Component Analysis) algorithm and procedures, Gabor wavelet transform and PCA face recognition code.
6280
- 有PMUSIC 校正前和校正后的比较，Gabor小波变换与PCA的人脸识别代码，本程序的性能已经达到较高水平。- A relatively before correction and after correction PMUSIC, Gabor wavelet transform and PCA face recognition code, The performance of the program has reached a high level.
puakv
- 用于时频分析算法，Gabor小波变换与PCA的人脸识别代码，关于神经网络控制。- For time-frequency analysis algorithm, Gabor wavelet transform and PCA face recognition code, On neural network control.