Kumar123's profile - activity

Thank you so much for the reply. Very helpful.

I am trying to calculate the RMS error between the two images (chess board). One is real and another is warped virtual image. In order to do it I have pointed 4 fixed corner points on two images separately. So now I have x,y coordinates values for all 8 Points from two different images. In order to calculate the RMS error which value I should take x or y . Or is there any procedure to combined the both values and use the formula.

Please kindly help me to solve this issue.

Thanks in advance.

@berak Not really.. My project goal is to implement own function for bilinear interpolation. And as i have observed that bilinear flag is not so accurate. I have seen both resulting images with and without that flag both have almost similar distortion. I need to know how to get the location of newly created Non integer coordinate pixels and how to access their weights.

@berak thank you so much for the help. It is working fine now.

After Affine transformation, we will get distortion in the image due to newly created pixels. So i need to implement he Bilinear interpolation function to increase the quality. I have theoretical knowledge, but coming to coding, i unable to start implementation. I can write the code for the algorithm, but How can I find the newly created pixels by using any Opencv function. Could please suggest me any article regarding coding.....

it is showing that code is crashed..... only that..

I am very beginner to coding as well as image processing. I just need to warp an image by using affine transformation and need to see the image how it would be appeared without interpolation. Actually My goal is to implement an interpolation method (Bicubic or linear interpolation). I have only theoretical knowledge on interpolation, but coming to coding i do not know how find out the newly created images in warped image and give the calculated value in it. meanwhile i just need to see how the following function would work, but the code is unable to be run.

         Mat imgAffine, image, par;
        image = imread ("/media/sf_vbox_share/ubuntushare/board.jpg",1);

        par.at<double>(0,0)=  1.01121;  //p1
        par.at<double>(1,0)=  0.21067 ;  //p2;
        par.at<double>(0,1)= -89.69693; //p3;
        par.at<double>(1,1)= - 0.11557;  //p4;
        par.at<double>(0,2)= 1.44982;   //p5;
        par.at<double>(1,2)= -193.66149;//p6;

          imgAffine = Mat::zeros( image.rows, image.cols,image.type());
           warpAffine(image,imgAffine,par, image.size(),INTER_LINEAR);
           namedWindow("image",WINDOW_AUTOSIZE);
                       imshow("image",imgAffine);

            cvWaitKey(0);

Could anyone tell me what mistake I am doing here...

@berak, According to my issue, that will be problem for calibration accuracy?? Any Idea??

Sorry that is not the exact calibration target that I have used. Actually I used the 9x7 chessboard. I am not allowed to take the pictures of those calibration target that is why I have posted this to explain the issue I am facing.

I am trying to check the accuracy of my calibration target by taking the pictures form different cameras from different positions. In some cameras I am getting exactly as shown below, but from other cameras the corners are detected but the connection from one corner's line to another corner's line is missing. Which means the cross line between the red corners and the next orange corner is missing as so on.

Does it effect the accuracy of the calibration target.