Scale Invariant Feature Transform (SIFT) is an algorithm primarily used to detect and describe local features in a digital image. You can find more about SIFT in the given link.
Find definite corners by narrowing the output of a Harris Corner Detector with a SIFT Descriptor Classifier and filtering on points that closely snap to high-‐threshold vertical and horizontal lines obtained by a Hough Transform.
Scale Invariant Feature Transform (SIFT) is an algorithm primarily used to detect and describe local features in a digital image. You can find more about SIFT in the given link.
Find definite corners by narrowing the output of a Harris Corner Detector with a SIFT Descriptor Classifier and filtering on points that closely snap to high-‐threshold vertical and horizontal lines obtained by a Hough Transform.