资源列表
faceRecognization
- 本程序中，利用了LBP特征对人脸特征进行提取，并且利用SVM对提取的人脸特征进行训练和识别，其中，所用的图像处理库OpenCV2.4.9版本；通过对人脸库中的标准标本进行测试，算法识别率高达95%以上；(LBP features extract facial features, and use SVM to extract and recognize the facial features. The OpenCV2.4.9 version of the image processing libr
TestLBP
- 使用vs2008开发平台，c++语言，对人脸图片进行LBP特征提取，再通过距离度量计算人脸相似度，在100人的小库中准确率超过80%(We use VS2008 development platform and c++ language to extract LBP features from face images, and then calculate face similarity by distance metric. The accuracy is over 80% in 100 sm
capture_image_basler
- basler相机图像采集转opencv的mat格式库(Basler camera image acquisition and conversion of OpenCV mat format library)
DetectsAndRecognizeFaces
- detect and crop tool for face align.
95_ORB算法描述与匹配
- Opencv+VS C++实现ORB算法(Opencv+VS C++ implements the ORB algorithm.)
kinectdepthandcolor
- 本程序主要是利用opencv实现kinect采集的彩色图像和深度图像的显示。(This program is mainly using OpenCV to realize the display of color images and deep images collected by Kinect)
特征检测
- 图像特征提取是计算机视觉和图像处理中的一个概念。它指的是使用计算机提取图像信息，决定每个图像的点是否属于一个图像特征。包括：Harris角点、ShiTomasi角点、亚像素级角点、SURF角点、Star关键点、FAST关键点、Lepetit关键点等等(Image feature extraction is a concept in computer vision and image processing. It refers to using a computer to extract imag
centre
- 可针对多个目标函数应用多目标遗传算法实现稳定优化过程(Genetic optimization of multiple targets)
图像处理相关
- 能实现车道线的检测，并且还有一些关于数字图像处理的英文资料(It can detect lane lines, and there are some English information about digital image processing.)
模板匹配
- 自己用的模板匹配 ，自己拍个图片，把小的部分单独截出来(Match your own template, take a picture of yourself, and cut the small part out alone)
Learning OpenCV 3 Computer vision in C++
- 学习Opencv3.0必备!有着丰富代码和说明!(Learning Opencv 3.0!Full of codes and demonstrations!)
【2】图像显示
- OpenCV入门程序显示图像，对开发环境的一个试调(The OpenCV entry program displays the image)