featExtractor = featureExtractors{detIdx};
  for imgIdx = 2:dataset.numImages
    imageBPath = dataset.getImagePath(imgIdx);
    tf = dataset.getTransformation(imgIdx);
    [rep(detIdx,imgIdx) numCorr(detIdx,imgIdx)] = ...
      repBenchmark.testFeatureExtractor(featExtractor, tf, ...
        imageAPath,imageBPath);
  end
end
</precode>

<p> This loop can be easily executed in parallel using <code>parfor</code>.
Computed results are usually plotted in a graph showing together repeatability
and number of cor