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.

Related Questions

Navigate

• Browse (All)
• Browse T
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.