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I am using stereo dataset of KITTI. After generating disparity maps, I hand coded Q matrix (using calibration data that comes in calibration files along with kitti dataset) and then reprojectImageto3D. However, after surfing and researching a lot , I think to understand accuracy of disparity map based on groundtruth data, my next step is to generate 3D points using surface matching or PCL but still confuse.. Attaching depth map image and following is the Q matrix that I have used Matrix Q is= [1, 0, 0, -696.0217; 0, 1, 0, -241.806; 0, 0, 0, 958.3579999999999; 0, 0, 0.01851, 0] I need some insight as I am going in right direction or not? Thanks.(/upfiles/14805413884322232.png)(/upfiles/14805413691477726.png)

Thank you for the information. I tried camera callibration sample code in opencv but facing issues while passing image list using VID5.XML file ..It gives me this error- (parsing error.There should be some space between literals). For disparity map can I use stereoBM or SGBM like procedures directly?

Hi,

I am new to openCV and want to run stereo vision on a stereo video data using openCV+visual studio. I want to show results by using color keys for disparities.

Does any one know from where to start ? While doing some net surfing, i came across few third party libraries too to achieve it.

Do we really need to use them ?

Can we achieve it using openCV itself ?

I would really appreciate any help !!