Faster implementation of the OpenCV BFMatcher(cv2.NORM_L2) matcher for image keypoint matching

This is an assignment for our computer vision course. It uses py-Qt5 to make GUI and open-cv to detect feature points and match them. Finally, it outputs an image which is stitched by two images. Part of this code comes from the Internet. Thanks for their unselfish dedication.

This project performs iris recognition using ORB (Oriented FAST and Rotated BRIEF) feature extraction and BFMatcher for feature matching. It compares two iris images to determine whether they belong to the same person based on a similarity score. The results include a match score, authentication decision, and visualized keypoints & matches.