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.
Program an exclusive OR operation with logical operators
"Low : High - Low : High - Turn around " -- Create a subindices vector
Without the French accent please!
Television Screen Dimensions
subtract central cross
GJam 2014 China Rd A: Read Phone Number (Large)
LASER Tracker - Mirror Distance and Angle
Loading/Expanding a ZIP file from File Exchange
Rubik's Mini Cube: Solve Randomized Cube in 11 Moves or Less; Score is by Time (msec)
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