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This is a follow up from issue 91. I did with my dataset with a pretty wide angle lens.
So I did intrinsic calibration with kalibr. The preprocessing cloud point looks good. The problem was that at the end, it was still kind of off:
I did see that during the calibration process, there was some mis-projection in the corner that projects my april tags to the wrong:
So I was wondering, how should I fix this? Should I go to an open environment with enough features like your rosbag?
The text was updated successfully, but these errors were encountered:
The viewer doesn't do hidden points culling, and thus this effect (back objects are colored by the pixels of front objects) itself doesn't mean a failure. Meanwhile, if you see misalignment on front objects, that means the calibration result is not satisfactory.
This is a follow up from issue 91. I did with my dataset with a pretty wide angle lens.
So I did intrinsic calibration with kalibr. The preprocessing cloud point looks good. The problem was that at the end, it was still kind of off:
I did see that during the calibration process, there was some mis-projection in the corner that projects my april tags to the wrong:
So I was wondering, how should I fix this? Should I go to an open environment with enough features like your rosbag?
The text was updated successfully, but these errors were encountered: