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Incorrect checkerboard pattern detection #608
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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: |
Is this a thermal camera? The contrast seems very low. Likely it is a resolution or focus problem with your sensor. |
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: 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.
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