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C++ algorithm to convert a fisheye image to an equirectangular image with OpenCV4

I want to create a C++ code with the OpenCV4 library that convert a fisheye image to an equirectangular image. I'm using as a test a fisheye image of 1400*1400 pixels loading from a file on my Computer:

fishey image

The build works well but when I try to execute the code, I get a

Segmentation fault: 11

error. I'm working on a MacOSX with Xcode and I use Terminal "ITerm2" to build and execute my code.

I us the method described on this blog to find the corresponding points of the fisheye image in the equirectangular image: http://www.kscottz.com/dewarped-panoramic-images-from-a-raspberrypi-camera-module/

The method can be described by this:

picture.

Thanks for any help.

#include <opencv2/opencv.hpp>
#include <iostream>
#include <vector>
#include <string.h>

using namespace cv;
using namespace std;

const string PATH_IMAGE = "/Users/Kenza/Desktop/Xcode_cpp_opencv/Projection/Projection/Images/img1.jpg";
const double PI = 3.141592653589793;
const int ESC = 27;

int main() {

    cout << "********** READ AND DISPLAY THE FISHEYE (=INPUT) IMAGE **********" << endl;
    Mat fisheyeImage;

    fisheyeImage = imread(PATH_IMAGE, IMREAD_COLOR);
    namedWindow("Fisheye Image", WINDOW_AUTOSIZE);
    imshow("Fisheye Image", fisheyeImage);

    while (waitKey(0) != ESC) {
        //wait until the key ESC is pressed
    }

    destroyWindow("Fisheye Image");

    cout << "********** CREATE AND LOAD PARAMETERS FOR THE FISHEYE (=INPUT) AND THE EQUIRECTANGULAR IMAGE (=OUTPOUT) **********" << endl;
    int Hf, Wf; //Height and Width of the fisheye image (= input)
    double R, Cfx, Cfy; //Radius and Center coordinates for the fisheye image
    int He, We; //Height and Width of the equirectangular image (= outpout)

    Hf = fisheyeImage.size().height;
    Wf = fisheyeImage.size().width;
    R = Hf / 2; //The fisheye image is a square of 1400x1400 pixels containing a circle so the radius is half of the width or height size
    Cfx = Wf / 2; //The fisheye image is a square so the center in x is located at half the distance of the width
    Cfy = Hf / 2; //The fisheye image is a square so the center in y is located at half the distance of the height

    He = R;
    We = 2 * PI*R;

    cout << "********** MAPPING : FINDING THE COORDINATES (Xf,Yf) IN THE FISHEYE IMAGE THAT CORRESPOND TO THE COORDINATE (Xe,Fe) IN THE EQUIRECTANGULAR IMAGE **********" << endl;
    Mat mapXf; //Contains all the Xf values of the fisheye image which correspond to each Xe and Ye in the equirectangular image
    Mat mapYf; //Contains all the Yf values of the fisheye image which correspond to each Xe and Ye in the equirectangular image

    mapXf.zeros(Size(We, He), CV_32FC1); //Initialize mapXf with zeros
    mapYf.zeros(Size(We, He), CV_32FC1); //Initialize mapYf with zeros

    double r, theta; //Polar coordinates for the fisheye image
    double Xf, Yf; //Cartesian coordinates for the fisheye image

    for (int Ye = 0; Ye < ((int)He); Ye++) { //For each value of Ye in the equirectangular image...
        for (int Xe = 0; Xe < ((int)We); We++) { //For each value of Xe in the equirectangular image..
            r = Ye / He * R; //We find the value of r in the fisheye image
            theta = Xe / We * 2.0*PI; //We find the value of theta in the fisheye image
            Xf = Cfx + r * sin(theta); //We get with r and theta the value of Xf
            Yf = Cfy + r * cos(theta); //We get with r and theta the value of Yf
            mapXf.at<int>(Ye, Xe) = Xf; //We fill the mapping for Xf
            mapYf.at<float>(Ye, Xe) = Yf; //We fill the mapping for Yf
        }
    }

    cout << "********** FISHEYE TO EQUIRECTANGULAR **********" << endl;
    Mat equirectangularImage;
    equirectangularImage.zeros(Size(We, He), CV_32FC1); //Initialize the equirectangular image with zeros
    remap(fisheyeImage, equirectangularImage, mapXf, mapYf, INTER_LINEAR, BORDER_CONSTANT, Scalar(0, 0, 0));

    namedWindow("Equirectangular Image", WINDOW_AUTOSIZE);
    imshow(" Cartesienne", equirectangularImage);

    while (waitKey(0) != ESC) {
        //wait until the key ESC is pressed
    }

    destroyWindow("Equirectangular Image");

    return 0;
}
like image 650
KenZone51 Avatar asked Jul 05 '19 11:07

KenZone51


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1 Answers

I finally found an alternative code that works, the outpout image looks like this : enter image description here

The code is available below :

#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/calib3d/calib3d.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace std;
using namespace cv;

const double PI = 3.141592653589793;
const string PATH_IMAGE =   "/Users/Kenza/Desktop/Xcode_cpp_opencv/PaulBourke/PaulBourke/Images/img1.jpg";
const int ESC = 27;

//Find the corresponding fisheye outpout point corresponding to an input cartesian point
Point2f findFisheye(int Xe, int Ye, double R, double Cfx, double Cfy, double He, double We){
    Point2f fisheyePoint;
    double theta, r, Xf, Yf; //Polar coordinates

    r = Ye/He*R;
    theta = Xe/We*2.0*PI;
    Xf = Cfx+r*sin(theta);
    Yf = Cfy+r*cos(theta);
    fisheyePoint.x = Xf;
    fisheyePoint.y = Yf;

    return fisheyePoint;
}

int main(int argc, char** argv){

    Mat fisheyeImage, equirectangularImage;

    fisheyeImage = imread(PATH_IMAGE, IMREAD_COLOR);
    namedWindow("Fisheye Image", WINDOW_AUTOSIZE);
    imshow("Fisheye Image", fisheyeImage);


    while(waitKey(0) != ESC) {
    //wait until the key ESC is pressed
    }

    //destroyWindow("Fisheye Image");

    int Hf, Wf, He, We;
    double R, Cfx, Cfy;

    Hf = fisheyeImage.size().height;
    Wf = fisheyeImage.size().width;
    R = Hf/2; //The fisheye image is a square of 1400x1400 pixels containing a circle so the radius is half of the width or height size
    Cfx = Wf/2; //The fisheye image is a square so the center in x is located at half the distance of the width
    Cfy = Hf/2; //The fisheye image is a square so the center in y is located at half the distance of the height

    He = (int)R;
    We = (int)2*PI*R;

    equirectangularImage.create(He, We, fisheyeImage.type());

    for (int Xe = 0; Xe <equirectangularImage.size().width; Xe++){
        for (int Ye = 0; Ye <equirectangularImage.size().height; Ye++){

            equirectangularImage.at<Vec3b>(Point(Xe, Ye)) =    fisheyeImage.at<Vec3b>(findFisheye(Xe, Ye, R, Cfx, Cfy, He, We));
        }
    }

    namedWindow("Equirectangular Image", WINDOW_AUTOSIZE);
    imshow("Equirectangular Image",equirectangularImage);

    while(waitKey(0) != ESC) {
    //wait until the key ESC is pressed
    }

    //destroyWindow("Fisheye Image");

    imwrite("equirectangularImage.jpg", equirectangularImage);

    return 0;
}
like image 151
KenZone51 Avatar answered Sep 20 '22 07:09

KenZone51