I have a question regarding the Harris-Laplacian-Detector introduced by Mikolajczyk et al. With the Harris you search maximas of "cornerness" within each particular scale and then with the Laplacian you search maximas of "blobness" over the scales that are one larger and one smaller than the scale of a found Harris-point.
Why does the maximization of the "blobness" over scale have such a good effect on corner-points? I would assume, that it is much better to search for maximum "cornerness" (e.g. find maximum of Harris over scales) to find good corner-points.
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