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Matlab_Examples(gabor).zip
- 改进的核函数算法及其在人脸识别中的应用研究,很好的东东!,Kernel function to improve the algorithm and its application in face recognition research
gaborfunction
- gabor_function1该程序对Gabor核函数某个尺度和方位的三维形状和二维平面图像进行显示 gabor_function2该程序对Gabor核函数五个尺度和八个方位的二维平面图像进行显示,共产生40个二维平面图像 这两个程序对理解gabor小波很有帮助哦-gabor_function1 the program of Gabor kernel function of a scale and orientation of the three-dimensional shape an
jiyutezhengronghehemohuhepanbian
- 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先,从每幅人脸图像中手工定 位34个基准点,作为面部表情图像的几何特征,同时采用Gabor小波变换方法对每幅表情图像进行变换,并提取基 准点处的Gabor小波系数值作为表情图像的Gabor特征;其次,利用典型相关分析技术对几何特征和Gabor特征进 行特征融合,作为表情识别的输人特征;然后,利用模糊核判别分析方法进一步提取表情的鉴别特征;最后,采用最 近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
gabor_image_paper
- Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system,
Gabor-kernel-Fisher-analysis-for-face-recognition
- Paper on non linear discriminant analysis.
Face-recognition
- 本文针对人脸图像的特点,选取一组Gabor 小波核,并用这组Gabor 小波核对人脸图像进行Gabor 小波变换,提取人脸 图像的有效信息。在此基础上,用2DPCA 对Gabor 小波提取的 数据矩阵进行降维,最后用最近邻法对人脸进行分类。-In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wav
FinalProject_rc2748
- This my course final project for biometrics. It implements a robust face recognition system. Techniques used include Log-Gabor filter , Kernel Discriminant Analysis(KDA) and Sparse Representation . Test data included(ORL database of faces).-This is m
Morlet-Wavelet-Kernel-by-Marcelo-Cicconet
- The Morlet wavelet (or Gabor wavelet) is a wavelet composed of a complex exponential (carrier) multiplied by a Gaussian window (envelope). This wavelet is closely related to human perception, both hearing and vision.
Gabor
- 本算法可以在不同方向和不同尺度上对图像进行分析,利用高斯核函数对图像进行卷积,然后综合各个方向和尺度的数据的最大值,就可以得到理想的结果。该方法对冠脉造影图像中血管的分割效果比较好,无论主血管或是细小血管都比较好。-This algorithm can be analyzed in different directions and on different scales the image using the Gaussian kernel function of the image convo
Gabor
- Gabor滤波器实现图像的滤波,含有Gabor核函数,有助于理解Gabor的各个参数设置及Gabor滤波器的基本原理,适用于学习研究-Gabor filter can be applied in image filtering, containing the Gabor kernel function.It is helpful to understand the basic principle of each parameter setting and Gabor filter , and s
Garbor-function
- 有了Gabor核函数后就可以采用前文中提到的“离散二维叠加和卷积”或“快速傅立叶变换卷积”的方法求解Gabor变换,并对变换结果求均值和方差作为提取的特征。32个Gabor核函数对应32次变换可以提取64个特征(包括均值和方差)。由于整个变换过程代码比较复杂,这里仅提供测试代码供下载。该代码仅计算了一个101×101尺寸的Gabor函数变换,得到均值和方差。代码采用两种卷积计算方式,从结果中可以看出,快速傅立叶变换卷积的效率是离散二维叠加和卷积的近50倍。-to extract features
gabor2
- 构造gabor滤波器组,可以显示gabor核图像,对图片进行滤波,提取特征(construct a bank of gabor,show the kernel images of gabor and filter an image ,extract feature)