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main.cpp
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#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include <math.h>
#include<fstream>
#include<sstream>
#include<vector>
#include<iostream>
#include<iomanip>
using namespace std;
using namespace cv;
// 控制场平面坐标系
// ^ X
// |
// |
// |——————> Y
// 标志点量测坐标定义 标志点像平面坐标定义
// --------> x(pixel) ^ y(mm)
// | |
// | |
// | -----------------> x
// | |
// y |
//
#define Pi 3.14159265
#define ROWS 2848
#define COLS 4272
#define PIXSIZE 0.00519663 //22.2mm × 14.8mm => 4272pixel × 2848pixel
struct ControlPoint
{
int flag;
double X;
double Y;
double Z;
};
struct imgPoint
{
int flag;
double x;
double y;
};
struct PointPair
{
int flag;
double X;
double Y;
double Z;
double x;
double y;
};
//外方位元素结构
struct orienParam {
//内方位元素
double x0 = 0;
double y0 = 0;
double f = 0;
//畸变系数
double k1 = 0;
double k2 = 0;
double p1 = 0;
double p2 = 0;
//外方位元素
double Phi = 0;
double Omega = 0;
double Kappa = 0;
double Xs = 0;
double Ys = 0;
double Zs = 0;
};
void readClptData(char* file, vector<ControlPoint>& ControlPoints)
{
ifstream inFile(file);
if (!inFile)
{
cout << "文件读取失败,请检查文件路径" << endl;
return;
}
string line;
string firstLine;
getline(inFile, firstLine);
while (getline(inFile, line)) {
ControlPoint clpt;
istringstream iss(line);
iss >> clpt.flag;
iss >> clpt.Z;
iss >> clpt.X;
iss >> clpt.Y;
clpt.Z = -1.0 * clpt.Z;
ControlPoints.push_back(clpt);
}
inFile.close();
}
void readImgData(char* file, vector<imgPoint>& imgPoints)
{
ifstream inFile(file);
if (!inFile)
{
cout << "文件读取失败,请检查文件路径" << endl;
return;
}
string line;
while (getline(inFile, line)) {
imgPoint imgpt;
istringstream iss(line);
iss >> imgpt.flag;
iss >> imgpt.x;
iss >> imgpt.y;
imgPoints.push_back(imgpt);
}
inFile.close();
}
void GeneratePairs(vector<imgPoint>& imgPoints, vector<ControlPoint>& ControlPoints, vector<PointPair>& PointPairs)
{
PointPair pair;
for (int i = 0; i < imgPoints.size(); i++)
{
for (int j = 0; j < ControlPoints.size(); j++)
{
if (imgPoints[i].flag == ControlPoints[j].flag)
{
pair.flag = imgPoints[i].flag;
pair.X = ControlPoints[j].X;
pair.Y = ControlPoints[j].Y;
pair.Z = ControlPoints[j].Z;
pair.x = imgPoints[i].x;
pair.y = imgPoints[i].y;
PointPairs.push_back(pair);
break;
}
}
}
}
void cvtPix2Img(vector<imgPoint>& imgPoints)
{
for (int i = 0; i < imgPoints.size(); i++)
{
imgPoints[i].x = (imgPoints[i].x - COLS / 2) * PIXSIZE;
imgPoints[i].y = -1.0 * (imgPoints[i].y - ROWS / 2) * PIXSIZE;
}
}
void cal_Coefficient(Mat& A, Mat& l, vector<PointPair>& PointPairs, orienParam& orien)
{
double x0 = orien.x0;
double y0 = orien.y0;
double f = orien.f;
double k1 = orien.k1;
double k2 = orien.k2;
double p1 = orien.p1;
double p2 = orien.p2;
double Phi = orien.Phi;
double Omega = orien.Omega;
double Kappa = orien.Kappa;
double Xs = orien.Xs;
double Ys = orien.Ys;
double Zs = orien.Zs;
//计算旋转矩阵
Mat R = Mat::zeros(3, 3, CV_64FC1);
R.at<double>(0, 0) = cos(Phi) * cos(Kappa) - sin(Phi) * sin(Omega) * sin(Kappa);
R.at<double>(0, 1) = -1.0 * cos(Phi) * sin(Kappa) - sin(Phi) * sin(Omega) * cos(Kappa);
R.at<double>(0, 2) = -1.0 * sin(Phi) * cos(Omega);
R.at<double>(1, 0) = cos(Omega) * sin(Kappa);
R.at<double>(1, 1) = cos(Omega) * cos(Kappa);
R.at<double>(1, 2) = -1.0 * sin(Omega);
R.at<double>(2, 0) = sin(Phi) * cos(Kappa) + cos(Phi) * sin(Omega) * sin(Kappa);
R.at<double>(2, 1) = -1.0 * sin(Phi) * sin(Kappa) + cos(Phi) * sin(Omega) * cos(Kappa);
R.at<double>(2, 2) = cos(Phi) * cos(Omega);
for (int i = 0; i < PointPairs.size(); i++)
{
double X = PointPairs[i].X;
double Y = PointPairs[i].Y;
double Z = PointPairs[i].Z;
double x = PointPairs[i].x;
double y = PointPairs[i].y;
double r_2 = pow(x - x0, 2) + pow(y - y0, 2);
double delta_x = (x - x0) * (k1 * r_2 + k2 * r_2 * r_2) + p1 * (r_2 + pow((x - x0), 2)) + 2 * p2 * (x - x0) * (y - y0);
double delta_y = (y - y0) * (k1 * r_2 + k2 * r_2 * r_2) + p2 * (r_2 + pow((y - y0), 2)) + 2 * p1 * (x - x0) * (y - y0);
double Xbar = R.at<double>(0, 0) * (X - Xs) + R.at<double>(1, 0) * (Y - Ys) + R.at<double>(2, 0) * (Z - Zs);
double Ybar = R.at<double>(0, 1) * (X - Xs) + R.at<double>(1, 1) * (Y - Ys) + R.at<double>(2, 1) * (Z - Zs);
double Zbar = R.at<double>(0, 2) * (X - Xs) + R.at<double>(1, 2) * (Y - Ys) + R.at<double>(2, 2) * (Z - Zs);
//外方位元素系数->线元素
double a11 = (R.at<double>(0, 0) * f + R.at<double>(0, 2) * (x - x0 + delta_x)) / Zbar;
double a12 = (R.at<double>(1, 0) * f + R.at<double>(1, 2) * (x - x0 + delta_x)) / Zbar;
double a13 = (R.at<double>(2, 0) * f + R.at<double>(2, 2) * (x - x0 + delta_x)) / Zbar;
double a21 = (R.at<double>(0, 1) * f + R.at<double>(0, 2) * (y - y0 + delta_y)) / Zbar;
double a22 = (R.at<double>(1, 1) * f + R.at<double>(1, 2) * (y - y0 + delta_y)) / Zbar;
double a23 = (R.at<double>(2, 1) * f + R.at<double>(2, 2) * (y - y0 + delta_y)) / Zbar;
//外方位元素系数->角元素
double a14 = (y - y0 + delta_y) * sin(Omega) - (((x - x0 + delta_x) / f) * ((x - x0 + delta_x) * cos(Kappa) - (y - y0 + delta_y) * sin(Kappa)) + f * cos(Kappa)) * cos(Omega);
double a15 = -f * sin(Kappa) - ((x - x0 + delta_x) / f) * ((x - x0 + delta_x) * sin(Kappa) + (y - y0 + delta_y) * cos(Kappa));
double a16 = y - y0 + delta_y;
double a24 = -1.0 * (x - x0 + delta_x) * sin(Omega) - (((y - y0 + delta_y) / f) * ((x - x0 + delta_x) * cos(Kappa) - (y - y0 + delta_y) * sin(Kappa)) - f * sin(Kappa)) * cos(Omega);
double a25 = -f * cos(Kappa) - ((y - y0 + delta_y) / f) * ((x - x0 + delta_x) * sin(Kappa) + (y - y0 + delta_y) * cos(Kappa));
double a26 = -1.0 * (x - x0 + delta_x);
//内方位元素系数
double a17 = (x - x0 + delta_x) / f;
//double a17 = -1.0 * Xbar / Zbar;
double a18 = 1;
double a19 = 0;
double a27 = (y - y0 + delta_y) / f;
//double a27 = -1.0 * Ybar / Zbar;
double a28 = 0;
double a29 = 1;
double a110 = -1.0 * (x - x0 + delta_x) * r_2; //k1
double a111 = -1.0 * (x - x0 + delta_x) * r_2 * r_2; //k2
double a112 = -1.0 * (2 * pow((x - x0 + delta_x), 2) + r_2); //p1
double a113 = -2.0 * (y - y0 + delta_y) * (x - x0 + delta_x); //p2
double a210 = -1.0 * (y - y0 + delta_y) * r_2; //k1
double a211 = -1.0 * (y - y0 + delta_y) * r_2 * r_2; //k2
double a212 = -2.0 * (y - y0 + delta_y) * (x - x0 + delta_x); //p1
double a213 = -1.0 * (2 * pow((y - y0 + delta_y), 2) + r_2); //p2
A.at<double>(2 * i, 0) = a11; A.at<double>(2 * i + 1, 0) = a21;
A.at<double>(2 * i, 1) = a12; A.at<double>(2 * i + 1, 1) = a22;
A.at<double>(2 * i, 2) = a13; A.at<double>(2 * i + 1, 2) = a23;
A.at<double>(2 * i, 3) = a14; A.at<double>(2 * i + 1, 3) = a24;
A.at<double>(2 * i, 4) = a15; A.at<double>(2 * i + 1, 4) = a25;
A.at<double>(2 * i, 5) = a16; A.at<double>(2 * i + 1, 5) = a26;
A.at<double>(2 * i, 6) = a17; A.at<double>(2 * i + 1, 6) = a27;
A.at<double>(2 * i, 7) = a18; A.at<double>(2 * i + 1, 7) = a28;
A.at<double>(2 * i, 8) = a19; A.at<double>(2 * i + 1, 8) = a29;
A.at<double>(2 * i, 9) = a110; A.at<double>(2 * i + 1, 9) = a210;
A.at<double>(2 * i, 10) = a111; A.at<double>(2 * i + 1, 10) = a211;
A.at<double>(2 * i, 11) = a112; A.at<double>(2 * i + 1, 11) = a212;
A.at<double>(2 * i, 12) = a113; A.at<double>(2 * i + 1, 12) = a213;
l.at<double>(2 * i, 0) = x - (x0 - f * Xbar / Zbar - delta_x);
l.at<double>(2 * i + 1, 0) = y - (y0 - f * Ybar / Zbar - delta_y);
}
}
int main()
{
//读取控制点数据和左右片标志点的像素坐标
vector<ControlPoint> ControlPoints;
vector<imgPoint> left_imgPoints;
vector<imgPoint> right_imgPoints;
char clptfile[] = "./data/clpts.txt";
char left_file[] = "./data/left.txt";
char right_file[] = "./data/right.txt";
readClptData(clptfile, ControlPoints);
readImgData(left_file, left_imgPoints);
readImgData(right_file, right_imgPoints);
//定义两张相片的内外方位元素
orienParam left_orien;
left_orien.x0 = 0;
left_orien.y0 = 0;
left_orien.f = 28;
left_orien.Xs = 1500;
left_orien.Ys = -200;
left_orien.Zs = -1000;
left_orien.Kappa = 0;
left_orien.Omega = 0;
left_orien.Phi = 0.3;
left_orien.k1 = 0;
left_orien.k2 = 0;
left_orien.p1 = 0;
left_orien.p2 = 0;
orienParam right_orien;
right_orien.x0 = 0;
right_orien.y0 = 0;
right_orien.f = 28;
right_orien.Xs = 4500;
right_orien.Ys = 200;
right_orien.Zs = -1000;
right_orien.Kappa = 0;
right_orien.Omega = 0;
right_orien.Phi = -0.2678;
right_orien.k1 = 0;
right_orien.k2 = 0;
right_orien.p1 = 0;
right_orien.p2 = 0;
//将像素坐标(pixel)转换为图像坐标(mm)
cvtPix2Img(left_imgPoints);
cvtPix2Img(right_imgPoints);
//生成点对
vector<PointPair> left_PointPairs;
vector<PointPair> right_PointPairs;
GeneratePairs(left_imgPoints, ControlPoints, left_PointPairs);
GeneratePairs(right_imgPoints, ControlPoints, right_PointPairs);
////构建右片系数阵A和常数项l
//Mat A(2 * right_PointPairs.size(), 13, CV_64FC1);
//Mat l(2 * right_PointPairs.size(), 1, CV_64FC1);
//Mat X(13, 1, CV_64FC1);
//while (true)
//{
// //填充系数阵
// cal_Coefficient(A, l, right_PointPairs, right_orien);
// //最小二乘
// X = (A.t() * A).inv() * A.t() * l;
// //更新外方位元素
// right_orien.Xs += X.at<double>(0, 0);
// right_orien.Ys += X.at<double>(1, 0);
// right_orien.Zs += X.at<double>(2, 0);
// right_orien.Phi += X.at<double>(3, 0);
// right_orien.Omega += X.at<double>(4, 0);
// right_orien.Kappa += X.at<double>(5, 0);
// right_orien.f += X.at<double>(6, 0);
// right_orien.x0 += X.at<double>(7, 0);
// right_orien.y0 += X.at<double>(8, 0);
// right_orien.k1 += X.at<double>(9, 0);
// right_orien.k2 += X.at<double>(10, 0);
// right_orien.p1 += X.at<double>(11, 0);
// right_orien.p2 += X.at<double>(12, 0);
// //cout << X << endl;
// //cout << l << endl;
// //system("cls");
// if (abs(X.at<double>(3, 0)) < 0.00001 && abs(X.at<double>(4, 0)) < 0.00001 && abs(X.at<double>(5, 0)) < 0.00001)
// break;
//}
////输出定位参数right_orien
//cout << "内外方位元素和畸变系数:" << endl;
//cout << "Xs: " << right_orien.Xs << endl;
//cout << "Ys: " << right_orien.Ys << endl;
//cout << "Zs: " << right_orien.Zs << endl;
//cout << "Phi: " << right_orien.Phi << endl;
//cout << "Omega: " << right_orien.Omega << endl;
//cout << "Kappa: " << right_orien.Kappa << endl;
//cout << "f: " << right_orien.f << endl;
//cout << "x0: " << right_orien.x0 << endl;
//cout << "y0: " << right_orien.y0 << endl;
//cout << "k1: " << right_orien.k1 << endl;
//cout << "k2: " << right_orien.k2 << endl;
//cout << "p1: " << right_orien.p1 << endl;
//cout << "p2: " << right_orien.p2 << endl;
//cout << "----------------------------------" << endl;
//Mat V = A * X - l;
//Mat vtv = V.t() * V;
//double sigma0 = sqrt(vtv.at<double>(0, 0) / (2 * right_PointPairs.size() - 13));
//cout << "单位权中误差: " << sigma0 << "mm" << " or " << sigma0 / PIXSIZE << "pixel" << endl;
//cout << "----------------------------------" << endl;
////精度统计 --> 各未知数的中误差
//Mat Qxx = (A.t() * A).inv();
//vector<string> str = { "Xs", "Ys", "Zs", "Phi", "Omega", "Kappa", "f", "x0", "y0", "k1", "k2", "p1", "p2" };
//cout << "未知数中误差:" << endl;
//for (int i = 0; i < 13; i++)
//{
// double sigmaXi = sqrt(Qxx.at<double>(i, i)) * sigma0;
// cout << str[i] << ": " << sigmaXi << endl;
//}
//cout << "----------------------------------" << endl;
////精度统计 --> 单位权中误差
//cout << "像点观测值残差/pixel" << endl;
//cout << "id" << " vx " << " vy" << endl;
//for (int i = 0; i < right_PointPairs.size(); i++)
//{
// cout << right_PointPairs[i].flag << " " << setiosflags(ios::right) << fixed << setprecision(5) << V.at<double>(2 * i, 0) / PIXSIZE << " " << setiosflags(ios::right) << fixed << setprecision(5) << V.at<double>(2 * i + 1, 0) / PIXSIZE << endl;
//}
//构建左片系数阵A和常数项l
Mat A(2 * left_PointPairs.size(), 13, CV_64FC1);
Mat l(2 * left_PointPairs.size(), 1, CV_64FC1);
Mat X(13, 1, CV_64FC1);
while (true)
{
//填充系数阵
cal_Coefficient(A, l, left_PointPairs, left_orien);
//cout << "L = " << l << endl;
//最小二乘
X = (A.t() * A).inv() * A.t() * l;
//更新外方位元素
left_orien.Xs += X.at<double>(0, 0);
left_orien.Ys += X.at<double>(1, 0);
left_orien.Zs += X.at<double>(2, 0);
left_orien.Phi += X.at<double>(3, 0);
left_orien.Omega += X.at<double>(4, 0);
left_orien.Kappa += X.at<double>(5, 0);
left_orien.f += X.at<double>(6, 0);
left_orien.x0 += X.at<double>(7, 0);
left_orien.y0 += X.at<double>(8, 0);
left_orien.k1 += X.at<double>(9, 0);
left_orien.k2 += X.at<double>(10, 0);
left_orien.p1 += X.at<double>(11, 0);
left_orien.p2 += X.at<double>(12, 0);
//cout << X << endl;
//cout << l << endl;
//system("cls");
if (abs(X.at<double>(3, 0)) < 0.0001 && abs(X.at<double>(4, 0)) < 0.0001 && abs(X.at<double>(5, 0)) < 0.0001)
break;
}
//输出定位参数left_orien
cout << "内外方位元素和畸变系数:" << endl;
cout << "Xs: " << left_orien.Xs << endl;
cout << "Ys: " << left_orien.Ys << endl;
cout << "Zs: " << left_orien.Zs << endl;
cout << "Phi: " << left_orien.Phi << endl;
cout << "Omega: " << left_orien.Omega << endl;
cout << "Kappa: " << left_orien.Kappa << endl;
cout << "f: " << left_orien.f << endl;
cout << "x0: " << left_orien.x0 << endl;
cout << "y0: " << left_orien.y0 << endl;
cout << "k1: " << left_orien.k1 << endl;
cout << "k2: " << left_orien.k2 << endl;
cout << "p1: " << left_orien.p1 << endl;
cout << "p2: " << left_orien.p2 << endl;
cout << "----------------------------------" << endl;
Mat V = A * X - l;
Mat vtv = V.t() * V;
double sigma0 = sqrt(vtv.at<double>(0, 0) / (2 * left_PointPairs.size() - 13));
cout << "单位权中误差: " << endl << sigma0 <<"mm" << " or " << sigma0 / PIXSIZE << "pixel" << endl;
cout << "----------------------------------" << endl;
//精度统计 --> 各未知数的中误差
Mat Qxx = (A.t() * A).inv();
vector<string> str = { "Xs", "Ys", "Zs", "Phi", "Omega", "Kappa", "f", "x0", "y0", "k1", "k2", "p1", "p2" };
cout << "未知数中误差:" << endl;
for (int i = 0; i < 13; i++)
{
double sigmaXi = sqrt(Qxx.at<double>(i, i)) * sigma0;
cout << str[i] << ": " << sigmaXi << endl;
}
cout << "----------------------------------" << endl;
//精度统计 --> 单位权中误差
cout << "像点观测值残差/pixel" << endl;
cout << "id" << " vx " << " vy" << endl;
for (int i = 0; i < left_PointPairs.size(); i++)
{
cout << left_PointPairs[i].flag << " " << setiosflags(ios::right) << fixed << setprecision(5) << V.at<double>(2 * i, 0) / PIXSIZE << " " << setiosflags(ios::right) << fixed << setprecision(5) << V.at<double>(2 * i + 1, 0) / PIXSIZE << endl;
}
return 0;
}