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. The data are a series of n25 images in a mat file. You'll see a lot of Area is Cropped to fit the Output in InputImage Size. How to convert a 3D matrix into several 2D matrix Ask Question Asked Viewed 897 times 0 The mat file is a 15619225 3D matrix. 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) I dont know how exaclty you export your figure later to be used in inkscape, but even if you manage. Remember, we are transforming our image such that the divider fits into this Rectangular Area. The gradient part from matlab is a generated raster image.

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. 3D Head Synthesis While we have completed the face detection, movement tracking, and 2D to 3D mapping of this project, we did not have time to work on. 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. will become a 2D array, a 2D array will become a 3D array, and so on. Then, using Houghlines, find out the longest lines in Image. How to convert a 1D array into a 2D array (how to add a new axis to an array).

Matlab convert 3d image to 2d