stereo-3d

i need your help about this issue badly. i am trying to model a simple scene in 3d out of 2d images. i am using 2 images (left and right-the famous tsukuba scene) http://www.cc.gatech.edu/classes/AY2003/cs7495_fall/ProblemSets/Data/tsukuba-right.bmp i get a disparity map. like this one. http://www.robots.ox.ac.uk/~ojw/2op/tsukuba_score.png after here i have some questions. i think the steps should be: cvStereoRectify ( to get Q) cvReprojectImageTo3D (disparity map, 3dimage , Q ) but i dont know what to pass as inputs in stereoRectify i only have 2 images,i dont have any info about cameras.

I've been asked to implement an edge-based disparity map but I fundamentally don't understand what a disparity map is. Googling doesn't seem to produce a straight-forward answer. Could someone explain it or point to a better resource? peakxu Disparity map refers to the apparent pixel difference or motion between a pair of stereo images. To experience this, try closing one of your eyes and then rapidly close it while opening the other. Objects that are close to you will appear to jump a significant distance while objects further away will move very little. That motion is the disparity. In a

I am doing a project in opencv to detect obstacle in the path of a blind person using stereo calibration. I have calculated the disparity map correctly. Now to find the distance of obstacle from the camera, I want its 3D coordinates [X,Y,Z] , which I am guessing can be found by reprojectImageTo3D(), but I dont have the Q matrix to use in this function because the Q matrix I am getting from stereoRectify() is coming null probably because I used pre calibrated images. Although I do have the inrinsic and extrinsic parameters of my camera. So my question is that how can I manually create the Q

I am new to Stereo Matching. I couldn't understand the concept of Disparity. Please tell me what is disparity map and disparity image and also What is the difference between them? Are both the terms same or different? Disparity Disparity refers to the distance between two corresponding points in the left and right image of a stereo pair. If you look at the image below you see a labelled point X (ignore X1, X2 & X3). By following the dotted line from X to OL you see the intersection point with the left hand plane at XL. The same principal applies with the right-hand image plane. If X projects