The Harris corner detection algorithm computes a 2 times 2 matrix at each pixel

Question

The Harris corner detection algorithm computes a 2 times 2 matrix at each pixel based on the first derivatives at that point and then computes the two eigenvalues of the matrix, lambda_1 and lambda_2, where lambda_1 greaterthanorequalto lambda_2 greaterthanorequalto 0. How can these two values be used to label each pixel as either a locally smooth region (S), an edge point (E), or a corner point (C)? Give your answer by specifying "Label pixel S if ...", "Label pixel E if ..." and "Label pixel C if ..."

Explanation / Answer

Haris corner detector is a mathematical aspect of determining the windows that produce large variations when moved into any direction.A score R is associated with each window by using this score of window one can easily figure out which ones are corners and which ones are not corners of the window.

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