Open shrutarv opened 1 year ago
No, this is the problem of using checkerboards (it isn't clear the ordering so you can have it "flip" mid way through a dataset). This is also why it is not possible to have a square checkerboard. See the top of the wiki page: https://github.com/ethz-asl/kalibr/wiki/calibration-targets
I tried with april grid. But, kalibr does not detect the grid patterns. Please have a look at the screenshot
Is this a thermal camera? The contrast seems very low. Likely it is a resolution or focus problem with your sensor.
It is an event camera. I adjusted the focus. The image is slightly better. But, still detections are low. The second image is a RGB camera.
No, this is the problem of using checkerboards (it isn't clear the ordering so you can have it "flip" mid way through a dataset). This is also why it is not possible to have a square checkerboard
I also tried with a 6x9 checkerboard pattern. Please have a look at the second image. It looks like there is a bug in kalibr. Could you please hep me out here.
The detection of the checkerboards look ok in your original posting. What is the problem or could you clarify?
See the example here: https://docs.opencv.org/3.4/d4/d94/tutorial_camera_calibration.html
Maybe you are referring to the colors not being per-row in your picture? This maybe is a bug in visualization or how the extractions are tracked. Is this what you mean / could you clarify? I originally thought you were talking about that detection can be on the horizontal rows or the vertical columns.
Yes, I meant the the colors not being per-row in the visualization. Should I ignore that and trust the calibration?
Very good point, should be looked into.
I have used multiple combinations of checkerboard patterns for calibration. But, kalibr does not detect the corners in an ordered way. please have a look at the attached image. Is this just a visualization error? Please help me resolve this.