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This generated [[decision tree]] can then be converted into programming code, such as C and C++, which is just a bunch of nested if-else statements. For optimization purpose, [[profile-guided optimization]] is used to compile the code. The complied code is used as corner detector later for other images.
Notice that the corners detected using this [[decision tree]] algorithm should be slightly different from the results using segment test detector. This is because that [[decision tree model]] depends on the training data, which could not cover all possible corners.
== Non-maximum suppression ==
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