# how do I solve matlab feature mismatching problem?

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lutfiye le 8 Juin 2014
Réponse apportée : Anand le 17 Juin 2014
I am tring to match points on an object with two different view of it.Firstly I used minimum eigenvalu to find points and the results are below;
When I try to match two image the results are mismatch.
I couldn't find the reason.Could you help me to solve this problem?
My code;
I1 = rgb2gray(imread('IMG_1046.jpg')); C1 = corner(I1,'MinimumEigenvalue',800,'FilterCoefficients',fspecial('gaussian',[31 1],0.000000000000000009));
I2 = rgb2gray(imread('IMG_1048.jpg')); C2 =corner(I2,'MinimumEigenvalue',800,'FilterCoefficients',fspecial('gaussian',[51 1],0.000000000000009)); % imshow(I1); % hold on % plot(C1(:,1), C1(:,2), 'r.') imshow(I2); hold on plot(C2(:,1), C2(:,2), 'r.') [features1, valid_points1] = extractFeatures(I1, C1);
[features2, valid_points2] = extractFeatures(I2, C2);
indexPairs = matchFeatures(features1, features2); matched_points2 = valid_points2(indexPairs(:, 2), :); matched_points1 = valid_points1(indexPairs(:, 1), :); figure; showMatchedFeatures(I1, I2,matched_points1, matched_points2,'montage');
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### Réponses (2)

Anand le 17 Juin 2014
Take a look at the examples on this page. Part of the workflow described is feature matching:
Also, here's a ready reference of the kinds of features detectors and descriptors available:
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Dima Lisin le 12 Juin 2014
Try using detectSURFFeatures() instead of corner().
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