added python wrapper macros in edge_filter.hpp
Merge branch 'edgefilter'
added benchmark for fr_lfw dataset
renamed datasetstools to datasets
adas fix

- lowered memory usage (now the train use ~3x less memory)
- improved speed (removed some bottlenecks and added fast_log)
- added support to grayscale images
- the LUV features are not computed if the image is grayscale (leads to
an improved detection rate)
- added various parameters (limit_ps, limit_bg, alpha, slidingStep,
is_grayscale)
- added detect() function for a better control of the resize factor
warning fixes
buffer overrun fix
Adaptive manifold filter changes: Memory consuming was reduced and performance was improved (10% average).
Merge branch 'master' of github.com:Itseez/opencv_contrib
Adaptive manifold filter: downsample/upsample operations where paralleled.
Registration sample: adapt to xfeatures2d
Moved namespace
added Caltech Pedestrian dataset loading
enhance documents structure
added benchmark for ar_hmdb
Merge pull request #111 from PhilLab/patch-1

Registration sample: adapt to xfeatures2d
Merge pull request #96 from avdmitry/datasets

datasets module: PR for adding benchmarks and renaming module from datasetstools
adding more clear documentation
refactored xfeatures2d in the same style as features2d
fixed xfeatures2d tests