www.gusucode.com > vision 源码程序 matlab案例代码 > vision/UseSURFFeaturesToFindCorrespondingPointsExample.m
%% Find Corresponding Points Using SURF Features % Use the SURF local feature detector function to find the corresponding points between two images that are rotated and % scaled with respect to each other. %% % Read the two images. I1 = imread('cameraman.tif'); I2 = imresize(imrotate(I1,-20),1.2); %% % Find the SURF features. points1 = detectSURFFeatures(I1); points2 = detectSURFFeatures(I2); %% % Extract the features. [f1,vpts1] = extractFeatures(I1,points1); [f2,vpts2] = extractFeatures(I2,points2); %% % Retrieve the locations of matched points. indexPairs = matchFeatures(f1,f2) ; matchedPoints1 = vpts1(indexPairs(:,1)); matchedPoints2 = vpts2(indexPairs(:,2)); %% % Display the matching points. The data still includes several outliers, but you can see the effects of rotation and scaling on the display of matched features. figure; showMatchedFeatures(I1,I2,matchedPoints1,matchedPoints2); legend('matched points 1','matched points 2');