But we'll reach some constraint that'll fulfill our task. We can never get a perfectly wrapped Output Image, since its size can be very large. By performing some Translation and Stuff, and taking a bigger Size Output Image, You'll get this. However you'll notice that Image is Transformed to get parallel Divider, as we Expected. You'll see a lot of Area is Cropped to fit the Output in InputImage Size. Follow 15 views (last 30 days) Show older comments Abhishek Tiwari on 0 Answered: Amit Dhakite on Accepted Answer: Amit Dhakite I have an image in PNG format with dimensions (N x M) and a specific point (x, y) within the image, I need determine the corresponding 3D world coordinate of this point using MATLAB. WarpPerspective(ipImg, opImg, TransformMat, ipImg.size()) Of opencv on initial and destination quadilateral Points, we get a Transform Matrix, Which we apply to our Test Image. Mat TransformMat = getPerspectiveTransform(ipPts, opPts) Remember, we are transforming our image such that the divider fits into this Rectangular Area. Now, for the Destination, we have to Image so that Divider Quadilateral has uniform width of 60, so we save in another array new points, which have same bottom points, but top points are modified as they form a rectangle with height same as image (or bigger, you can adjust as it suits you after running it once and seeing the results), but width 60. In my case, the width of road at top of image is 10, and at bottom is 60. I skipped this part by Manually Choosing them. Find out the extrema points that cross image boundary. 1 If you have multiple images of the same object and the position of the camera when the picure was taken, then it is possible, but still not easy. Then, using Houghlines, find out the longest lines in Image.
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