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Find Corresponding Interest Points Between Pair of Images

Find corresponding interest points between a pair of images using local neighbhorhoods and the Harris algorithm.

Read the stereo images.

I1 = rgb2gray(imread('viprectification_deskLeft.png'));
I2 = rgb2gray(imread('viprectification_deskRight.png'));

Find the corners.

points1 = detectHarrisFeatures(I1);
points2 = detectHarrisFeatures(I2);

Extract the neighborhood features.

[features1,valid_points1] = extractFeatures(I1,points1);
[features2,valid_points2] = extractFeatures(I2,points2);

Match the features.

indexPairs = matchFeatures(features1,features2);

Retrieve the locations of the corresponding points for each image.

matchedPoints1 = valid_points1(indexPairs(:,1),:);
matchedPoints2 = valid_points2(indexPairs(:,2),:);

Visualize the corresponding points. You can see the effect of translation between the two images despite several erroneous matches.

figure; showMatchedFeatures(I1,I2,matchedPoints1,matchedPoints2);