Question :
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KOuldamer commented
Hi,
I am currently working on Deep single image calibration. I want to train a CNN to predict distortion parameters : focal, pitch, roll and distortion parameters : k1, k2 of the radial distortion model : xd=x*(1+k1r2+k2r4). Is there any code to generate traning images from panorama with random parameters (focal, pitch, roll, k1, k2)?
rgerum commented
Well you could basically transform an image that you know to another distortion. You can basically use two camera objects and project from one camera to the other.