Camera Calibration with only one view. Why does it work ?

asked 2015-01-21 10:07:23 -0500

chris_more gravatar image

Hi together

Background to my problem.

I am building an SAR application and using the calibrateCamera Methods to calibrate my projector and to my depth camera.

I can only use one planar surface to project my calibration pattern onto so I only can obtain 1 view for the calibration. Surprisingly the reprojection error is quite low and I get a good calibration. As far as I know one needs at least 2 different views of a planar pattern to calibrate a camera.( Zhangs approach)

Now I am asking myself why does this even work at all with only 1 view?

So does anybody know and can explain why it also works with only 1 view of a planar pattern?

Maybe is it because you only need at least 2 views to calculate an initial camera matrix but 1 view is enough for the Levenberg-Marquardt optimization algorithm, when using a good initial camera matrix?

Does anybody know the answer or has any hints

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What is an SAR application? Are you talking about an intrinsic calibration or an external calibration?

FooBar gravatar imageFooBar ( 2015-01-21 10:55:55 -0500 )edit

Spatial Augmented Reality (SAR). in my case a simple combination of a projector and a depth camera where I want to find out the intrinsic parameters of my projector (projector modelled as an inverse camera) and the extrinsic parameters to a given world system.

chris_more gravatar imagechris_more ( 2015-01-21 15:21:07 -0500 )edit