Shi-Thomasi Corners

Shi-Thomasi is a corner detection algorithm improved from Harris' corner detector. The improvement is the way how a certain region within the image is scored (and thus treated as corner or not). Where the Harris-corner detector determines the score with the eigenvalues and of two regions (the second region is a shifted version of the first one and used to compare to the first one to see if the difference between the two is big enough to say if there is a corner or not) in the following way:

Shi and Thomas just use the minimum of both eigenvalues:

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