image processing - Edge Response Removal in SIFT -

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Using hesiian matrix in section 4.1 of iron, the ratio of main curvature is used to remove the dates which may be related to the shore.

The paper does not specify whether the Hessian matrix is ​​counted on the original image or the DOG. It applies to the DOG in the specified octave; Interval.

My question is why the Hessian matrix applies on the DOG to identify those points which are the possible edges?

I think that Hessian should be similar to finding Harris corner. The difference is that the Hessian matrix is ​​the second sequence derivative. So I concluded that Hessians should be applied to the original image.

Can you tell me about the relevant resources, how is heission used? Paper on SIFT indicates that input in the Hesian matrix calculation is actually DOG I DoG edge map.

Not because it does not have binary, however, it has eliminated the noise and has emphasized the features visible in that level of the DOG. So in short, the high value pixels of the DOG are the most important features for working at that level.

Thank you.

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