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How to handle outliers in calibration? [closed]

asked 2018-07-27 03:57:51 -0500

kevinkayaks gravatar image

I would like to calibrate cameras as well as possible. Among many calibration images, I can see by eye that certain chessboard corner locations have been affected by noise (water droplets). I would like to exclude these from the calibration.

I tried to set these imagepoints and their corresponding objectpoints to None: this did not work-- calibratecamera never converges.

What is the proper approach to mask outliers from the calibration computation?

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Closed for the following reason the question is answered, right answer was accepted by kevinkayaks
close date 2018-07-27 20:13:54.353533

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answered 2018-07-27 07:20:09 -0500

w33z gravatar image


i used the PCL library to remove outliers, here is an example

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Actually it's not identification of outliers which is my problem, it's that I'm not sure how to input points arrays masked of outliers to calibrateCamera and stereoCalibrate.

Maybe I can study how/if this library does it

kevinkayaks gravatar imagekevinkayaks ( 2018-07-27 09:48:50 -0500 )edit

I obtained a solution. It's hard to explain. If anyone needs this, please email me

kevinkayaks gravatar imagekevinkayaks ( 2018-07-27 20:13:43 -0500 )edit

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Asked: 2018-07-27 03:57:51 -0500

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Last updated: Jul 27 '18