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Difference between Camera Matrix and Projection matrix for monocular camera calibration.

asked 2020-02-12 20:58:35 -0500

subodh gravatar image

I am using the ROS camera calibrator to calibrate a Monocular Camera and Since it is a monocular camera, I was expecting the projection matrix to be same as the camera matrix (as explained here: https://docs.ros.org/melodic/api/sens...) but it is not so. Can anyone explain me why? I am not sure what I am missing here.

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answered 2020-02-13 08:03:24 -0500

wisewolf76 gravatar image

To be honest, I don't know the answer in your specific case but usually the difference between the perspective projection matrix P and the camera matrix is a roto-traslation applied to the camera matrix.

The camera matrix K, also called matrix of the intrinsic parameters, is 3x3 matrix which usually depends on focal length, image centre coordinates, and skew factor. This matrix K can be extended with a further column of zeros becoming a 3x4 matrix which is the basic perspective projection matrix P. You can use the so obtained matrix P when the 3D coordinate system is placed in the camera optical centre, i.e., the 3D coordinates are given with respect to the camera location. Usually, this is not so convenient, even because the real optical centre is somewhere inside the camera and become quite difficult to measure distances with respect to that point. It's easier to have our own 3D reference system (usually the one of the calibration object), move the camera in the desired location and then calibrate the camera. This calibration will produce a matrix P' = P * [R|t] where [R|t] is rototraslation matrix (also called extrinsic parameters matrix) that allows to convert coordinates in our own reference system into the camera-based reference system.

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Asked: 2020-02-12 20:58:35 -0500

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Last updated: Feb 13