▍1. OpenCV
opencv例程,包含大部分opencv函数(opencv routines, including most of the opencv function)
opencv例程,包含大部分opencv函数(opencv routines, including most of the opencv function)
这本经典教材的全新版本全面论述了稀疏表示的重要概念、技术和应用,反映了该主题在当今信号处理领域所起的关键作用。书中清楚地给出了傅里叶、小波和时频变换的标准表示,以及用快速算法构造的正交基。作者在解释了稀疏的主要概念后将其运用于信号压缩、噪声衰减和逆问题,同时给出了冗余字典、超分辨和压缩感知中的稀疏表示。. (wavelet )
捕食者物体跟踪算法 开放源码 英国萨里大学的一个捷克学生的博士论文的一部分 (TLD is an award-winning, real-time algorithm for tracking of unknown objects in video streams. The object of interest is defined by a bounding box in a single frame. TLD simultaneously Tracks the object, Learns its appearance and Detects it whenever it appears in the video. The result is a real-time tracking that typically improves over time.)
说明: 图像分割的一种方法,基于图像金字塔,用OpenCV+VC实现的~~(A method of image segmentation, image-based pyramid, with the implementation of OpenCV+ VC ~ ~)
说明: 基于opencv的图像分割算法,改进了graph cut算法(image segmentation algorithm based on Opencv, improved from graph cut algorithm)
说明: 数字图像处理 中值滤波和中值滤波 visual C++6.0 配置opencv进行的图像处理。(Digital image processing median filter and median filter)
说明: 基于OpenCV的摄像头标定,实现鱼眼摄像头的矫正以及俯视变换功能(Based on OpenCV camera calibration to achieve the correct fish-eye camera, and overlooking the transformation function)
说明: 基于opencv的Deluanay抛分算法,可以实现点到面的扩散(Opencv of Deluanay throw points based algorithms, can point to the proliferation of surface)
基于OPENCV实现的粒子滤波运动目标跟踪源程序(Particle Filter Moving Object Tracking based on OPENCV)
实现OpenCV、OpenGL、VS2008混合编程,输入校正后的图像对,使用立体匹配算法计算其视差图,最后用OpenGL进行三维重建。(Achieve OpenCV, OpenGL, VS2008 hybrid programming, enter the corrected image pairs, the use of stereo matching algorithms to calculate the disparity map, and finally with OpenGL three-dimensional reconstruction.)
this function to load image from any folder using opencv
这是我做毕设时,用到的机器视觉关于OPENCV方面的文献,主要是尺寸测量方面的(This is what I do when the complete set, used in machine vision OPENCV the literature on the main aspects is the size measurement)
本程序是在 MFC 中使用 OpenCV 的演示程序,由3部分组成。 1、Windows 下用 MFC 编制的程序框架;2、调用 OpenCV 函数实现处理;3、用 DirectShow 编制的视频采集程序(This procedure is used in OpenCV MFC demo program consists of 3 parts. 1, Windows programs under preparation with the MFC framework 2 OpenCV functions for call processing 3, prepared with the DirectShow video capture program)
基于opencv的手部皮肤识别程序,可以根据手掌的大小判断出手掌展开或者握拳的两种状态,并将状态通过网络发送出去。(Opencv hand based on skin identification procedures, based on the size of the palm or fist, palm and determine the two states, and the state sent through the network.)
opencv camshift 实现摄像头半跟踪 绝对可以运行 本人已经实现过 (opencv camshift finish half-auto track absolutely can be runned,i have make it)
基于OpenCV的Snake方法边缘检测(Method based on edge detection OpenCV' s Snake)
VC+opencv 实现建筑物梯形畸变校正 radon变换 sobel边缘检测 直方图均衡图像增强 radon直线检测 仿射变换等算法(VC+ opencv trapezoidal distortion correction to achieve the building radon transform sobel edge detection image enhancement histogram equalization radon affine transform line detection algorithm)
Opencv摄像机测量距离,两点成线测量,将结果在右侧方框中显示,有比较高的精度(Opencv camera measuring distance, two points into the line of measurement, will result in the right side of the box shows a relatively high accuracy)
基于OpenCV的人脸识别演示程序。目前实现了Gabor+Fisherface算法,还有几何和光照归一化。 -->请到 http://code.google.com/p/facerecog/ 下载最新版本。<-- 功能:对摄像头拍摄的或用户指定的图像,检测其中人脸,然后在已存储的人脸库中找到最匹配的人脸并显示。 在VS 2008 SP1上编写,使用了OpenCV 2.0和MFC,通过消息处理函数与用户进行交互,利用多线程来实时显示图像。 数据处理分为了CFaceAlign(人脸检测+几何归一化)、CLightPrep(光照归一化)、CFaceFeature(Gabor特征提取)、CSubspace(计算Fisherface子空间)四个类,还有一个类 CFaceMngr 负责管理界面与数据之间的交流。注释很详细 程序中使用了OpenCV1.0和2.0,如果你没有安装这两者的库,或者想要看看运行效果,请到 http://code.google.com/p/facerecog/ 下载安装包。(An OpenCV-based face recognition demo. Gabor+Fisherface algorithm, face alignment and light normalization is implemented. Please go to http://code.google.com/p/facerecog/ to download latest codes, demo installer and OpenCV dlls.)
基于OpenCV实现的图像特征区域跟踪程序,基于类Mean-Shift实现的颜色直方图概率匹配算法,可同时跟踪6个特定目标区域。(OpenCV implementation of image features based on regional tracking program, based on class Mean-Shift probability of achieving the color histogram matching algorithm, which can track a specific target area 6.)