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Description
Use the trained neural networks model from #13 to test reconstruct new gantry positions and evaluate static and dynamic reconstruction accuracy.
TODO
Write a MATLAB script that constantly captures camera views and processes the images to find the target (outputs Nx2 matrix that contains 2D image coordinates of N camera views)
Test the MATLAB script. Find a gantry position range that we can have a reliable output.
Feed the output of the image processing function to the trained neural network function to get the reconstructed gantry coordinates.
Read Gantry ground truth and compare results
Use the result to estimate static reconstruction accuracy - reconstruct N times at a given location and use the sample distribution to estimate the mean and confidence interval
Estimate dynamic reconstruction accuracy by moving the gantry unit distance away
Description
Use the trained neural networks model from #13 to test reconstruct new gantry positions and evaluate static and dynamic reconstruction accuracy.
TODO