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OpenCV provides two techniques for feature matching. Brute force matching and FLANN matcher technique.
Example
Following example uses brute-force method
import numpy as np import cv2 img1 = cv2.imread(''lena.jpg'') img2 = cv2.imread(''lena-test.jpg'') # Convert it to grayscale img1_bw = cv2.cvtColor(img1,cv2.COLOR_BGR2GRAY) img2_bw = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY) orb = cv2.ORB_create() queryKeypoints, queryDescriptors = orb.detectAndCompute(img1_bw,None) trainKeypoints, trainDescriptors = orb.detectAndCompute(img2_bw,None) matcher = cv2.BFMatcher() matches = matcher.match(queryDescriptors,trainDescriptors) img = cv2.drawMatches(img1, queryKeypoints, img2, trainKeypoints, matches[:20],None) img = cv2.resize(img, (1000,650)) cv2.imshow("Feature Match", img)
Output
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