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| Monday, August 04, 2008 |
| Activity 11: Camera Calibration |
The world we see is in 3D. A camera takes a 2D image. We can calibrate the 2D image to a 3D scaling.
For this activity, we were tasked to take a picture of a folded checkerboard shown below. Each square is 1"x1", therefore the checkerboard can actually act as a 3D grid. Choosing 22 arbitrary points using the locate function of Scilab, we get the image coordinates of these points. The point of this activity being, to obtain the calibration matrix of the camera.
The image coordinates were obtained using the locate function of Scilab are shown in the table below together with the table of values for the chosen points:
Processing the results in Scilab, we get the calibration matrix A of the camera and its values are shown in the table below:
Registering the calibration values and attempting to test the accuracy of the method using 6 arbitrary points we get a standard deviation value of 1.44 for the y axis and .43 for the z axis.
I give myself 9/10 neutrinos for this activity... Since even if I accomplished what is needed to be done, it's still pretty confusing for me.
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posted by poy @ 5:30 PM  |
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