1. 算法简介   Catmull-Rom Spline算法是一种插值算法,能够在目标点之间插值生成一条平滑的曲线 算法数学原理不在此介绍   算法特点 什么情况下,可以使用Catmull-Rom Spline算法呢——平滑机器人或无人车的路径   算法要求: 有一系列路径点 路径点大于4个 想要在路径点之间插值生产若干个路径点 生成的轨迹是平滑的   2. C++实现   不说废话上代码,我把核心算法写成了CatMullRomSpline.h头文件,main.cpp是调用示例 算法要求:输入点数 > 4   CatMullRomSpline.h  

#include <iostream>  
#include <vector>
#include <map>
#include <math.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/opencv.hpp>

using namespace std;    
using namespace cv;   

double tj(double ti, Point2d Pi, Point2d Pj){
    double t = sqrt(sqrt( pow((Pj.x - Pi.x),2) + pow((Pj.y - Pi.y),2)) ) + ti;    
    return t;
}
vector<Point2d> catMullRomSpline(vector<Point2d> inputPoints){
    // 每两个点中间插入多少个点
    int numSpace = 100;

    int numPoints = inputPoints.size();

    if (numPoints > 4){
        int numSplines = numPoints - 3;
        
        std::vector<Point2d> result;
        std::vector<Point2d> spline;
        
        for (int i = 0 ; i<numSplines ; i++){
            // 从第0个点开始,每次取4个点   
            std::vector<Point2d>::const_iterator first = inputPoints.begin() + i;
            std::vector<Point2d>::const_iterator last  = inputPoints.begin() + i+4;
            std::vector<Point2d> inputPoints_part(first, last);

            // 这时输入点数为4,重新调用函数,进入else分支
            spline = catMullRomSpline(inputPoints_part);

            // spline 为插值出的点
            std::vector<Point2d>::const_iterator result_first = spline.begin();
            std::vector<Point2d>::const_iterator result_last  = spline.begin() + spline.size() ;
            std::vector<Point2d> result_part(result_first, result_last);

            // 每次的结果spline,全部放入result结果中
            result.insert(result.end(), result_part.begin(), result_part.end());
        }
        // 返回最终的结果
        return result;
    }
    // 当输入点数是4个时
    else if (numPoints == 4){
        // 输入的四个点
        Point2d P0, P1, P2, P3;
        P0.x = inputPoints[0].x;
        P0.y = inputPoints[0].y;
        P1.x = inputPoints[1].x;
        P1.y = inputPoints[1].y;
        P2.x = inputPoints[2].x;
        P2.y = inputPoints[2].y;
        P3.x = inputPoints[3].x;
        P3.y = inputPoints[3].y;

        double t0 = 0;
        double t1 = tj(t0, P0, P1);
        double t2 = tj(t1, P1, P2);
        double t3 = tj(t2, P2, P3);

        // 可以理解为点与点之间的间隔
        double linespace = (t2 - t1)/numSpace;
        
        double t = t1;
        vector<Point2d> C;
        while( t <= t2){
            double A1_x = (t1-t)/(t1-t0)*P0.x + (t-t0)/(t1-t0)*P1.x;
            double A1_y = (t1-t)/(t1-t0)*P0.y + (t-t0)/(t1-t0)*P1.y;
            double A2_x = (t2-t)/(t2-t1)*P1.x + (t-t1)/(t2-t1)*P2.x;
            double A2_y = (t2-t)/(t2-t1)*P1.y + (t-t1)/(t2-t1)*P2.y;
            double A3_x = (t3-t)/(t3-t2)*P2.x + (t-t2)/(t3-t2)*P3.x;
            double A3_y = (t3-t)/(t3-t2)*P2.y + (t-t2)/(t3-t2)*P3.y;
            double B1_x = (t2-t)/(t2-t0)*A1_x + (t-t0)/(t2-t0)*A2_x;
            double B1_y = (t2-t)/(t2-t0)*A1_y + (t-t0)/(t2-t0)*A2_y;
            double B2_x = (t3-t)/(t3-t1)*A2_x + (t-t1)/(t3-t1)*A3_x;
            double B2_y = (t3-t)/(t3-t1)*A2_y + (t-t1)/(t3-t1)*A3_y;
            double C_x = (t2-t)/(t2-t1)*B1_x + (t-t1)/(t2-t1)*B2_x;
            double C_y = (t2-t)/(t2-t1)*B1_y + (t-t1)/(t2-t1)*B2_y;
            C_x = floor(C_x);
            C_y = floor(C_y);
            C.push_back( Point2d( C_x, C_y ) );
            t = t + linespace;
        }
        // C 是输入4个点中,第2个点和第3个点之间的插值点
        return C;
    }
    // 保证输入点药大于4个
    else{
        cout<<"The number of input points must > 4"<<endl;
        vector<Point2d> nopoint;
        nopoint.push_back(Point2d(0,0));
        return nopoint;
    }
}
  main.cpp  
#include <iostream>  
#include <vector>
#include <map>
#include <math.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/opencv.hpp>

#include "CatMullRomSpline.h"
 
using namespace std;    
using namespace cv;   

int main(int argc,char*argv[])  
{    
    vector<Point2d> input;
    input.push_back(Point2d(-510, -520));
    input.push_back(Point2d(50,50));
    input.push_back(Point2d(300,250));
    input.push_back(Point2d(550,200));
    input.push_back(Point2d(800,600));
    input.push_back(Point2d(900,900));

    // 调用算法
    vector<Point2d> Output = catMullRomSpline(input);
    cout<<"一共插值了 "<<Output.size()<<" 个点"<<endl;

    // 画出来
    Mat img(2000, 2000, CV_8UC3, Scalar(255, 255, 255));
    for (int i = 0 ; i< input.size(); i++){
        int x = 1000 + input[i].x ;
        int y = 1000 - input[i].y ;
        circle(img, Point2d(x, y),1, Scalar(0, 0, 255), 15, 8);
    }
    for (int i = 0 ; i< Output.size(); i++){
        int x = 1000 + Output[i].x ;
        int y = 1000 - Output[i].y ;
        circle(img, Point2d(x, y),1, Scalar(0, 255, 0), 8, 8);
    }

    imshow("line fitting", img);
    waitKey(0);

	return 0;
}