Tim created another superb solution. The highlights are an elegant center of square's determination using ndgrid. The crux of his method is a convolution for each square not using "same" with an interesting centroid kernel. The comparison between all square convolutions for all rotations utilizes a concise norm metric function. The method should work on non-binary images. The best six matches from the 180x180 upper triangle error array are handily converted into the output format. Thank You Tim for this elegant solution.
Clean the List of Names
The Tower of Hanoi
Find the largest value in the 3D matrix
Generate pi using logarithm
Matrix rotation as per given angle
LASER Tracker - Mirror Distance and Angle
GJam 2014 China Rd A: Library Sorting (Small)
Usage of varargout
Create a Video
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