Comments (2)
monamourvert
commented on July 20, 2024
Another thing that I found, no matter perfectly I isolate the chessboard, the dimension error is quite large.
So, to summarize it:
- I calculate the offset of the chessboard as accurate as I can for the params.yaml
- The camera_info is directly retrieved from /rgb/camera_info from Azure Kinect so I assume there is nothing wrong with the intrinsic parameter.
- I tried to isolate the chessboard as detail as I can. This one is just an example (I screenshot this as fast as I can)
But I guess the dot that mark the board area seems having a big translation from the edge. I don't know, I'm not so sure. - The dimension error of the board is strangely always > 40
Hope somebody can help me about this. Thanks!
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chinitaberrio
commented on July 20, 2024
@monamourvert, which lidar are you using? is the camera calibrated?
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