Key points of an object in an image can be found using feature detection algorithms. Algorithms like SIFT, SURF, or ORB identify distinctive points, such as edges or corners, that represent the object.
In OpenCV, use cv2.SIFT_create() or cv2.ORB_create() to detect key points. These functions return coordinates of key points and descriptors for further processing, like matching or tracking.
Key points are used in applications like image stitching, object recognition, or 3D reconstruction. Ensure the image is preprocessed for clarity, as noisy or blurred images may affect detection quality.