ps This is MOCK only NOT Assignment NO marks

2. Question 2: (a) What is the Difference of Gaussian (DOG) of an image I? (To get a full mark, you should present the formulation to calculate Dog) (5 marks) 6) Given three consecutive Dog images Do), D(ko), and D(ka), in which k is a constant, how to detect the scale invariant keypoints on D(ka) (5 marks) (e) Present main steps of RANSAC algorithm for model fitting. (5 marks) (d) Given the data of 2D points with 60% of inliers, we want to fit a line into the data. In every iteration of RANSAC, we will need to randomly pick a sample that has two data points. How many times we should run the RANSAC algorithm such that we can pick a sample that contains all inliers with probability 99%. Give the explanation to justify your