ORB Feature matching Example in OpenCv

       

import cv2
import numpy as np
 
img1 = cv2.imread("face1.jpg", cv2.IMREAD_GRAYSCALE)
img2 = cv2.imread("face2.jpg", cv2.IMREAD_GRAYSCALE)
 
# ORB Detector
orb = cv2.ORB_create()
kp1, des1 = orb.detectAndCompute(img1, None)
kp2, des2 = orb.detectAndCompute(img2, None)
 
# Brute Force Matching
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
matches = bf.match(des1, des2)
matches = sorted(matches, key = lambda x:x.distance)
 
matching_result = cv2.drawMatches(img1, kp1, img2, kp2, matches[:50], None, flags=2)
 
cv2.imshow("Img1", img1)
cv2.imshow("Img2", img2)
cv2.imshow("Matching result", matching_result)
cv2.imwrite("Matching result.jpg", matching_result)
cv2.waitKey(0)
cv2.destroyAllWindows()

OutPut