实验3.2

#include <bits/stdc++.h>
#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/video.hpp"
#include "opencv2/objdetect.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/ml.hpp"
#define inf 2333333333333333
#define N 1000010
#define p(a) putchar(a)
#define For(i,a,b) for(int i=a;i<=b;++i)
typedef unsigned char uchar;
//by war
//2020.10.4
using namespace std;
using namespace cv;
int T;
Mat image0,image1,new_image;
double w,h,eps=1e-7;

struct nose{
    double x;
    double y;
    int X;
    int Y;
}a[100];

void in(int &x){
    int y=1;char c=getchar();x=0;
    while(c<‘0‘||c>‘9‘){if(c==‘-‘)y=-1;c=getchar();}
    while(c<=‘9‘&&c>=‘0‘){ x=(x<<1)+(x<<3)+c-‘0‘;c=getchar();}
    x*=y;
}
void o(int x){
    if(x<0){p(‘-‘);x=-x;}
    if(x>9)o(x/10);
    p(x%10+‘0‘);
}

double get_x(double x,double y){
    double r=sqrt(x*x+y*y);
    if(r-1.0>=eps) return x;
    double theta=(1.0-r)*(1.0-r);
    return cos(1.5*theta)*x;
}

double get_y(double x,double y){
    double r=sqrt(x*x+y*y);
    if(r-1.0>=eps) return y;
    double theta=(1.0-r)*(1.0-r);
    return cos(1.5*theta)*y;
}

signed main(){
    VideoCapture capture(0);
    while(1){
        capture >> image0;
        if(image0.empty())continue;
        new_image = Mat::zeros(image0.size(), image0.type());
        w=(double)image0.cols*0.5;
        h=(double)image0.rows*0.5;
        For(i,0,image0.rows-1)
            For(j,0,image0.cols-1){
                a[0].x=(i-h)/h;a[0].y=(j-w)/w;
                a[1].x=get_x(a[0].x,a[0].y);
                a[1].y=get_y(a[0].x,a[0].y);
                a[1].x=a[1].x*h+h;
                a[1].y=a[1].y*w+w;
                For(k,0,2){
                    auto t0=image0.at<Vec3b>(floor(a[1].x),floor(a[1].y))[k];
                    auto t1=image0.at<Vec3b>(floor(a[1].x),ceil(a[1].y))[k];
                    auto t2=image0.at<Vec3b>(ceil(a[1].x),floor(a[1].y))[k];
                    auto t3=image0.at<Vec3b>(ceil(a[1].x),ceil(a[1].y))[k];
                    auto t4=(1.0-(a[1].y-floor(a[1].y)))*t0+(a[1].y-floor(a[1].y))*t1;
                    auto t5=(1.0-(a[1].y-floor(a[1].y)))*t2+(a[1].y-floor(a[1].y))*t3;
                    auto t6=(1.0-(a[1].x-floor(a[1].x)))*t4+(a[1].x-floor(a[1].x))*t5;
                    new_image.at<Vec3b>(i, j)[k] = t6;
                }
            }
        imshow("background", new_image);
        if(waitKey(20) == ‘q‘) break;
    }
    capture.release();
    destroyAllWindows();
    return 0;
}