Bad results from stereo calibration for certain resolutions

asked 2017-10-04 10:39:00 -0600

berickson gravatar image

updated 2020-10-10 07:49:20 -0600

I have a stereo camera that I am trying to calibrate for depth perception. The individual cameras calibrate fine with low error. Sometimes, and this seems to depend on resolution, the remapped images are bad and either zoomed way out or zoomed way in, and don't have horizontal correspondences.

II have a jupyter notebook with all of the code and calibration images:

https://github.com/berickson/race-vis...

The 640_480 images work fine while the 320_240_d images don't work correctly despite what appears to be good individual camera calibrations. Notice that the "remapped L" and "remapped R" images are bad. I need the low resolutions to work as I am planning on using this on a resource limited computer on a robotic car. Am I doing something wrong that is causing these bad projections?

edit retag flag offensive close merge delete