Can someone point out the math involved in getting the 3d points of an image from its disparity values?I have the Image(i,j) and disparity at each of these points.What i want is the开发者_如何学运维 true 3D coordinate x,y,z using math equations.
Long answer - http://www.amazon.com/Multiple-View-Geometry-Computer-Vision/dp/0521540518/
Short answer. You have the pixel scale, so for a given number of pixel disparity you can get an angle different. With the baseline between cameras and an angle you have a distance
ps. take a look at the opencv book, it has a couple of good chapters on stereo
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