hankerbit的博客

方法的任务就是核心函数Read data from videos by using cv::VideoCapture or image sequences by using cv::imread ;Create and update the background model by using cv::BackgroundSubtractor class;Get and show the foreg...

#include "stdafx.h"#include <iostream>#include <opencv2/core/core.hpp>#include <opencv/cv.hpp>#include <opencv2/highgui/highgui.hpp> using namespace cv; using namespace ...

转载链接：http://blog.youkuaiyun.com/maweifei/article/details/51221259     CV_<bit_depth>(S|U|F)C<number_of_channels> 1--bit_depth---比特数---代表8bite,16bites,32bites,64bites---举个例子吧--比如说,如 如果你...

VS2015+opencv3.1 目标追踪， 采用"KCF"算法#include "stdafx.h"#include <opencv2/core/utility.hpp>#include <opencv2/tracking.hpp>#include <opencv2/videoio.hpp>#include <opencv2/highgui....

C++: void triangulatePoints(InputArray projMatr1, InputArray projMatr2, InputArray projPoints1, InputArray projPoints2, OutputArray points4D)Python: cv2.triangulatePoints(projMatr1, projMatr2, projP...

七、立体标定与立体校正         这篇博文中，让玉米和大家一起了解一下，张氏标定是怎样过渡到立体标定的？在这里主要以双目立体视觉进行分析。对于双目立体视觉，我们有两个摄像头。它们就像人的一双眼睛一样，从不同的方向看世界。两只眼睛中的图像的视差，让我们对世界有了三维的认识。        那么，想要知道视差，首先应该知道双目视觉系统中两个摄像头之间的相对位置关系。我们可以通过同时对...

在OpenCV中，可以使用calibrateCamera函数，通过多个视角的2D/3D对应，求解出该相机的内参数和每一个视角的外参数。 使用C++接口时的输入参数如下： objectPoints - 每一个视角中，关键点的世界坐标系。可以使用vector < vector <Point3f> >类型，第一层vector表示每一个视角，第二层vector表示每...

Real Time pose estimation of a textured objectNowadays, augmented reality is one of the top research topic in computer vision and robotics fields. The most elemental problem in augmented reality is ...

The goal of this tutorial is to learn how to calibrate a camera given a set of chessboard images.Test data: use images in your data/chess folder.Compile opencv with samples by setting BUILD_EXAMPL...

Camera calibration With OpenCVCameras have been around for a long-long time. However, with the introduction of the cheap pinhole cameras in the late 20th century, they became a common occurrence in ...

函数实现void cvText(cv::Mat* img, int text, cv::Point2f cvPoint){    std::string str = std::to_string(text);    int font_face = cv::FONT_HERSHEY_COMPLEX;    double font_scale = 2;    int thickness ...

double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray cameraMatrix1, InputOutputArray distCoeffs1, InputOutputArray...

        Mat_<float> invec = (Mat_<float>(3, 1) << 0.04345, -0.05236, -0.01810);    Mat  outMat;    Rodrigues(invec, outMat);    cout << outMat << endl;    Mat outv...

https://blog.youkuaiyun.com/cocoaqin/article/details/77848588IDE：visual studio 2013 使用库：Eigen opencv2.4.9 文档版本：1.11.前言　　很多时候，当我们利用单目相机获取图像时，往往只能获取图像中特征物体的像素坐标。而在空间三维点计算时，我们也第一时间会想到深度相机（Kinect、Realse...

这几天在做跟踪恢复的时候需要用给定的2D点和R，T计算3D点，于是重新手算了一边图像2D点和空间3D点的关系。过程中搞懂了为什么PnP计算rotation和translation的时候需要至少3组2D/3D点。首先来看图像2D点和空间3D点的关系：对于R和T展开并且对矩阵相乘展开我们得到：把（3）式带入（1）式和（2）式，整理得：Xw * ( fx * R11 + u0 *...

#include <iostream>  #include <fstream>  #include "opencv2/highgui/highgui.hpp"  #include "opencv2/stitching/stitcher.hpp"   using namespace std;using namespace cv; void main(){ ...

46 void sharpenImage(const cv::Mat &image, cv::Mat &result)47 {48 //创建并初始化滤波模板49 cv::Mat kernel(3,3,CV_32F,cv::Scalar(0));50 kernel.at<float>(1,1) = 5.0;51 kernel.at...

PCA-SIFT是对传统SIFT算法的改进，由Yan Ke等人在《PCA-SIFT: A More Distinctive Representation for Local Image Descriptors》中提出，论文中采用PCA(Principal Component Analysis)把SIFT特征描述子从128维降到了20维，优化了描述子占用的内存，同时提高了匹配的准确性。复习SIFT原...

利用函数 undistortPoints（）Computes the ideal point coordinates from the observed point coordinates.C++: void undistortPoints(InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCo...