OpenCV 实现哈哈镜效果代码，有参考别人的代码

先看实现的效果：

实现效果：

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// haha_mirror.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"

#include

#include "cv.h"
#include "highgui.h"
#include "math.h"
#include "opencv2/core/core.hpp"

#pragma comment(lib,"opencv_core2410d.lib")? ? ? ? ? ? ?
#pragma comment(lib,"opencv_highgui2410d.lib")? ? ? ? ? ? ?
#pragma comment(lib,"opencv_imgproc2410d.lib")?

?

#define DOWNRESIZE 0 // 缩小
#define UPRESIZE? 1 // 放大
#define HORAO? ? ? 2 // 水平外凹
#define HORTU? ? ? 3 // 水平外凸
#define LADDER? ? 4 // 梯形变形
#define TRIANGLE? 5 // 三角形变形
#define SSHAPE? ? 6 // S形变形
#define WAVESHAPE? 7 // 波浪形变形
#define Concentrated 8 //集中形变形
#define Scattered? 9 // 散开形变形

#define RANGE? ? 100 // 水平外凹或外凸的幅度
#define PI? ? ? ? 3.1415926

using namespace std;
using namespace cv;

void MaxFrame(IplImage* frame)
{
?uchar* old_data = (uchar*)frame->imageData;
?uchar* new_data = new uchar[frame->widthStep * frame->height];

?int center_X = frame->width / 2;
?int center_Y = frame->height / 2;
?int radius = 400;
?int newX = 0;
?int newY = 0;

?int real_radius = (int)(radius / 2.0);
?for (int i = 0; i < frame->width; i++)
?{
? for (int j = 0; j < frame->height; j++)
? {
? ?int tX = i - center_X;
? ?int tY = j - center_Y;

? ?int distance = (int)(tX * tX + tY * tY);
? ?if (distance < radius * radius)
? ?{
? ? newX = (int)((float)(tX) / 2.0);
? ? newY = (int)((float)(tY) / 2.0);

? ? newX = (int) (newX * (sqrt((double)distance) / real_radius));
? ? newX = (int) (newX * (sqrt((double)distance) / real_radius));

? ? newX = newX + center_X;
? ? newY = newY + center_Y;

? ? new_data[frame->widthStep * j + i * 3] = old_data[frame->widthStep * newY + newX * 3];
? ? new_data[frame->widthStep * j + i * 3 + 1] =old_data[frame->widthStep * newY + newX * 3 + 1];
? ? new_data[frame->widthStep * j + i * 3 + 2] =old_data[frame->widthStep * newY + newX * 3 + 2];
? ?}
? ?else
? ?{
? ? new_data[frame->widthStep * j + i * 3] =? old_data[frame->widthStep * j + i * 3];
? ? new_data[frame->widthStep * j + i * 3 + 1] =? old_data[frame->widthStep * j + i * 3 + 1];
? ? new_data[frame->widthStep * j + i * 3 + 2] =? old_data[frame->widthStep * j + i * 3 + 2];
? ?}
? }
?}
?memcpy(old_data, new_data, sizeof(uchar) * frame->widthStep * frame->height);
?delete[] new_data;
}

void MinFrame(IplImage* frame)
{
?uchar* old_data = (uchar*)frame->imageData;
?uchar* new_data = new uchar[frame->widthStep * frame->height];

?int center_X = frame->width / 2;
?int center_Y = frame->height / 2;

?int radius = 0;
?double theta = 0;
?int newX = 0;
?int newY = 0;

?for (int i = 0; i < frame->width; i++)
?{
? for (int j = 0; j < frame->height; j++)
? {
? ?int tX = i - center_X;
? ?int tY = j - center_Y;

? ?theta = atan2((double)tY, (double)tX);
? ?radius = (int)sqrt((double)(tX * tX) + (double) (tY * tY));
? ?int newR = (int)(sqrt((double)radius) * 12);
? ?newX = center_X + (int)(newR * cos(theta));
? ?newY = center_Y + (int)(newR * sin(theta));

? ?if (!(newX > 0 && newX < frame->width))
? ?{
? ? newX = 0;
? ?}
? ?if (!(newY > 0 && newY < frame->height))
? ?{
? ? newY = 0;
? ?}

? ?new_data[frame->widthStep * j + i * 3] = old_data[frame->widthStep * newY + newX * 3];
? ?new_data[frame->widthStep * j + i * 3 + 1] =old_data[frame->widthStep * newY + newX * 3 + 1];
? ?new_data[frame->widthStep * j + i * 3 + 2] =old_data[frame->widthStep * newY + newX * 3 + 2];
? }
?}
?memcpy(old_data, new_data, sizeof(uchar) * frame->widthStep * frame->height);
?delete[] new_data;
}

// 哈哈镜制作
int main( int argc, char** argv )
{
?IplImage* pImg; //声明IplImage指针
?IplImage* pImg1; //声明IplImage指针
?int i,j;
?int method = 0;
?CvSize size;
?double tmp;

?method = 8;
?//method = HORAO;