Pick centers in KMeans++ with a probability proportional to their distance^2, instead of simple distance, to previous centers
Apply to KMeansIndex KMeanspp the same modification as in HierarchicalClusteringIndex
As some processed distances are already ^2, use template to select whether or not we have to ^2 in KMeanspp
Move templates in dist.h in order to share them between KMeansIndex and HierarchicalClusteringIndex classes.
modified BackgroundSubtractorMOG2::getBackgroundImage so that it can now work with gray-level images.
Optimizations to OpenCL bilateral filter.
perf report: summary.py: added custom --regressions map
KAZE and AKAZE integration initial commit
Prepare KAZE and AKAZE sources for integration
Added KAZE and AKAZE wrappers
Added unit-tests for KAZE and AKAZE features
Clean-up from unused utils.h/utils/cpp
Merge branch '2.4' of git://github.com/Itseez/opencv into mog2_bgimg_gray
made a performance improvement.
changed the way the mean value for each pixel is assigned in the output image.
Added ippiMinEigenVal_ to cv::cornerMinEigenVal
Added perf test for cornerMinEigenVal
Optimizations to OpenCL bilateral filter.
Resolving conflicts after rebasing from public
Indent fixes
More intendation fixes