This method uses box filters over integral images to compute the approximate Hessian Determinant as described in .
The running time of this method only depends on size of the image. It is independent of :None:None:`sigma` as one would expect. The downside is that the result for :None:None:`sigma` less than :None:None:`3` is not accurate, i.e., not similar to the result obtained if someone computed the Hessian and took it's determinant.
The integral image over which to compute Hessian Determinant.
Standard deviation used for the Gaussian kernel, used for the Hessian matrix
The array of the Determinant of Hessians.
Computes the approximate Hessian Determinant over an image.
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