Why 2D to 3D image conversion is needed 3D displays provide a dramatic improvement of visual. So as you see the image looks 3D but the data is actually 2D. MATLAB Programming for image conversion step by step. Or we can use any other colormap of our choice.Ĭolormap(jet(200)) %// The size can be different than the original colormap For instance, we can use the original colormap (stored in map) in order to get the following: image(X) If we wish to display this 2D data as a colorful we need to provide a suitable colormap. So a 2D variable, even though the original image ( a) was 3D (rgb). Let's read and use the rgb2ind function to store the image data in variable X and its associated colormap in variable map. So if the colormap is a 256x3 array, for example, the image will be made of indices ranging from 0 to 255.įor example, let's consider the peppers.png demo image that ships with Matlab. Once, you have all the necessary data, you can use triangulate () to construct world coordinates. In this case the colormap will be a Nx3 array where each row corresponds to an index present (or not) in the image data. You can calculate extrinsic parameters using rotationMatrix and translationVector. If I understood right you can store the image data as a 2D array and use a colormap to assign it colors, displaying it as a "colorful" image.
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