Feature Detection, Part 3: Harris Corner Detection

Harris Corner Detection is a computer vision technique for identifying informative points, specifically corners, within an image. The algorithm analyzes image gradients in a local window to distinguish between flat regions, edges, and corners. By examining the distribution of these gradients, a score 'R' is calculated to classify the region, with a high positive score indicating a corner. The method can be implemented in Python using the OpenCV library's `cv2.cornerHarris` function, which identifies these key points for further image analysis tasks.