I have a video segemented into frames where i am comparing each frame of the video with a one constant picture.
I am using the method detectSURFFeatures()
How by ploting the matched features on the pictures,i noticed that i have arround 10% of the data that are wrong matches
I have read that the RANSAC method can help removing the outliers but so far, I had not lack to find a good example
here is the code snipped i am using (it might give you a better idea on what i did ) :
fixationImagePoints = detectSURFFeatures(fixationImage);
originalImagePoints = detectSURFFeatures(originalImage);
[fFixationImagePoints, vFixationImagePoints] = extractFeatures(fixationImage, fixationImagePoints);
[fOriginalImagePoints, vOriginalImagePoints] = extractFeatures(originalImage, originalImagePoints);
indexPairs = matchFeatures(fFixationImagePoints, fOriginalImagePoints) ;
fixationImageMatchedPoints = vFixationImagePoints(indexPairs(:, 1));
originalImageMatchedPoints = vOriginalImagePoints(indexPairs(:, 2));
Hopefully someone here can give me a clue on how to use the RANSAC or give me a different approache.
Thanks in advance.