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F.R.I.A.R. Cycle 2 Design Report 11
tradeoffs between these different approaches are summarized in Table 2. We decided to
use approach C.
Table 2: Tradeoffs in Approaches to Inverting Brown’s Distortion Equations
Testing Mapping Procedure
We implemented MATLAB code to produce a distorted image from an undistorted
image, given a set of distortion parameters. With a distorted image of known distortion
parameters, we tested our restoration process on synthetic images (one test is shown
in Figure 6). In this manner, we were able to test this process independently from
parameter estimation. In our tests, the restored images were visually indistinguishable
from the originals.
Getting the Model Parameters
To calculate the model parameters, we used open source code available in the sample
code of the OpenCV library. Our camera calibration process is explained in the user
manual.
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