eigen

Matrix

基础

• 所有矩阵和向量都是Matrix模板类的对象。
• 向量也是矩阵，单行或单列。
• Matrix模板类6个参数，常用就3个参数，其它3个参数有默认值。

Matrix<typename Scalar, int RowsAtCompileTime, int ColsAtCompileTime>

分别是元素标量类型，编译时行数和列数
-下面定义float类型元素，4*5的矩阵

typedef Matrix<float, 4, 4> Matrix4f;

• 4*1列 向量

typedef Matrix<float, 4, 1> Vector3f;

• 1*2行向量

typedef Matrix<int, 1, 2> RowVector2i;

• 运行时再指定维度

typedef Matrix<double, Dynamic, Dynamic> MatrixXd;
typedef Matrix<int, Dynamic, 1> VectorXi;
//只指定行
Matrix<float, 3, Dynamic>

MatrixXf a(10,15);
VectorXf b(30);

• 初始化元素

Vector2i a(1, 2);                      
Matrix<int, 5, 1> b {1, 2, 3, 4, 5};   
Matrix<int, 1, 5> c = {1, 2, 3, 4, 5}; 

例

编译时固定尺寸

• Matrix4f

#include <iostream>
#include "f:/learn/eigen-3.4.0/Eigen/Dense"using Eigen::Matrix4f;int main()
{Matrix4f m = Matrix4f::Random();std::cout << m << std::endl;
}

 -0.997497   0.170019    0.64568   0.4210030.127171 -0.0402539    0.49321  0.0270699-0.613392  -0.299417  -0.651784   -0.392010.617481   0.791925   0.717887  -0.970031Process returned 0 (0x0)   execution time : 0.099 s
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• Vector3f

#include <iostream>
#include "f:/learn/eigen-3.4.0/Eigen/Dense"using Eigen::Vector3f;int main()
{Vector3f m = Vector3f::Random();std::cout << m << std::endl;
}

-0.9974970.127171
-0.613392Process returned 0 (0x0)   execution time : 0.103 s
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• RowVector2i

#include <iostream>
#include "f:/learn/eigen-3.4.0/Eigen/Dense"using Eigen::RowVector2i;int main()
{RowVector2i m = RowVector2i::Random();std::cout << m << std::endl;
}

-16343   2083Process returned 0 (0x0)   execution time : 0.091 s
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• 指定大小
  6*6的矩阵

#include <iostream>
#include "f:/learn/eigen-3.4.0/Eigen/Dense"using Eigen::Matrix;
typedef Matrix<int,6,6> Matrix6i;
int main()
{Matrix6i m = Matrix6i::Random();std::cout << m << std::endl;
}

-16343  -4906   6897 -11557 -16092 -109372083  12974    443 -10948  -4002   5342
-10050  10578  -6423  16007   1037  -161310116   8080 -15893  -1780   2332  -48462785 -10679 -13389 -12482   3334 -14515-660  11761  -4442 -16231   3511   3528Process returned 0 (0x0)   execution time : 0.101 s
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运行指定大小

• double型元素

#include <iostream>
#include "f:/learn/eigen-3.4.0/Eigen/Dense"using Eigen::MatrixXf;
int main()
{MatrixXf m = MatrixXf::Random(3,3);std::cout << m << std::endl;
}

 -0.997497   0.617481  -0.2994170.127171   0.170019   0.791925-0.613392 -0.0402539    0.64568Process returned 0 (0x0)   execution time : 0.099 s
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• int型元素

#include <iostream>
#include "f:/learn/eigen-3.4.0/Eigen/Dense"using Eigen::MatrixXi;
int main()
{MatrixXi m = MatrixXi::Random(3,3);std::cout << m << std::endl;
}

-16343  10116  -49062083   2785  12974
-10050   -660  10578Process returned 0 (0x0)   execution time : 0.098 s
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• 指定元素值

#include <iostream>
#include "f:/learn/eigen-3.4.0/Eigen/Dense"using Eigen::Vector2i;
using Eigen::Matrix;
int main()
{Vector2i a(1, 2);Matrix<int, 5, 1> b {1, 2, 3, 4, 5};Matrix<int, 1, 5> c = {1, 2, 3, 4, 5};std::cout << a<< std::endl;std::cout << b<< std::endl;std::cout << c<< std::endl;
}

1
2
1
2
3
4
5
1 2 3 4 5Process returned 0 (0x0)   execution time : 0.094 s
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OpenCV

概述

• OpenCV(开源计算机视觉库:http://opencv.org)是一个开源库，包含数百种计算机视觉算法。
• 操作均是在windows下，所以从下面链接下载安装包：
  https://github.com/opencv/opencv/releases/latest