搜索资源列表
adaboost_PtwoPclasses
- 结合Gabor特征和adaboost的人脸表情识别方法,内附matlab源程序和实验-Combination of Gabor features and adaboost of facial expression recognition methods, and experimental matlab source code included
fdp5final
- Face Detection System 基于Gabor特征提取和人工智能的人脸检测系统源代码 使用步骤: 1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱) 2. 找到"main.m"文件 3. 命令行中运行它 4. 点击"Train Network",等待程序训练好样本 5. 点击"Test on Photos",选择一个.jpg图片,识别。 6. 等待程序检测出人脸区域
Gabor
- 这是gabor滤波器的PPT讲义,gabor滤波器在提取图像等特征时候用的比较多,效果比较好,学习了是有用的。-Gabor filters is the PPT lecture, gabor filter to extract image features such as the use of more time, results were better, learn to be useful.
expression-basedCs
- 利用压缩感知算法实现人表情识别,在JAFFE数据库上实现的,利用Gabor特征-expression recognition based on compressed sensing in JAFFE database with Gabor
Gabor_face
- 自己编写的Gabor 2DPCA人脸识别算法,提取Gabor特征,用2DPCA进行人脸识别。在Yale数据库上测试,识别率较高,速度很快。只用修改训练样本数目,直接输出识别率。本程序附带Yale人脸数据库,可以直接运行,输出识别结果。-I have written Gabor the 2DPCA face recognition algorithm, to extract the Gabor features for face recognition with 2DPCA. Tested on
Gabor-and-histogram-features
- gabor变换和直方图特征的 图像匹配算法 及其比较-Gabor transform and the histogram image matching algorithm and its characteristics of the comparison
HGabormatlab_e
- 这里包含三个高质量的Gabor实现代码,分别基于C、OpenCV、Matlab,大家各取所需吧。Gabor变换可以实现在在多个尺度、多个方位上的变换,尤其是对于纹理的检测有很好的效果,研究表明Gabor特征符合人眼感受野特性。 已通过测试。 -Here are three of the Gabor to achieve high-quality code, respectively, based on C, OpenCV, Matlab, we take what we need it.
gabor
- gabor滤波实例,具有纹理分析和特征提取,可用于后期处理-gabor filtering instance, has a texture analysis and feature extraction can be used for post-processing
shiyitujizhuyaosuanfa
- 这个是我做的关于gabor特征提取的程序,完成对英文字母的四个方向特征的提取。 以及直方图的显示-This is what I do on the gabor feature extraction procedure, and four direction feature extraction on the letters of the alphabet. And histogram display
face_recog
- 基于gabor特征提取与欧式距离分类的人脸识别-Based on the gabor feature extraction and face recognition of the Euclidean distance.
facedetection
- 基于Gabor特征的人脸检测matlab-face detect based Gabor feature
FaceDet(Gabor_netWork)
- 使用Gabor特征提取和神经网络的人脸检测,里面带有人脸和非人脸的训练图库,检测效果很好。 运行该程序: 1 -所有文件和目录复制到MATLAB的工作文件夹 *-为了运行程序,你必须有图像处理和神经网络工具箱 2 - 找到名为“main.m”的文件 3 - 双击这个文件或在命令窗口中的“主”类型 4 - 将显示一个菜单。点击“火车网”,并等待,直到程序完成培训 5 - 点击“照片上的测试”。将出现一个对话框。选择一个。JPG图片 6 - 等待,直到程序检测
cvgabor
- 用VC实现的Gabor纹理提取器,注释清楚,是一个很经典的Gabor处理,可以多角度多尺度提取Gabor特征-Gabor texture extractor with VC, comments, is a classic Gabor processing can multi-angle multi-scale extraction Gabor feature
Gabor-texture
- 使用Gabor滤波器进行纹理特征提取. 具体说明见里面的6个小程序-Gabor filter texture feature extraction
adaboost_-two-classes
- 结合Gabor特征和adaboost的人脸表情识别方法-Gabor features and adaboost combination of facial expression recognition method
Gabor
- Gabor滤波的多尺度多方向实现,及纹理特征提取的方法-Gabor filtering, and texture feature extraction methods
Gabor-Filter
- Gabor滤波,有详细注释,并通过与图像卷积提取图像的纹理特征-Gabor filtering, detailed notes, and through convolution with the image texture features extracted
Gabor
- gabor滤波器的源码,可以特征处理或者-gabor filter source, you can deal with the characteristics or
DAFLibrary_1_01
- 采用离散Gabor特征的人脸检测,可以更好的检测出人脸。-Face Detection by Discrete Gabor Jets and Reference Graph of Fiducial Points
LGBP-feature
- 提取Gabor特征,LBP特征,LGBP特征代码-extract Gabor feature,LBP feature and LGBP feature.