How can the RANSAC algorithm be utilized to estimate a homography matrix for robustly matching corresponding points in two images?

The RANSAC algorithm can be used to estimate a homography matrix by iteratively selecting random sets of corresponding points in two images and calculating the homography matrix for each set. The set with the most inliers (points that fit well with the estimated homography) is then chosen as the best estimate. This helps in robustly matching corresponding points between the two images.