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
UML source files added

misc and pics folders removed

Modified doc to achieve the automatic generation of UML diagrams with plantuml

Removed debug prints in TLD Tracker

Added perf test for TLD tracker

Added test OPE-SRE-TRE for TLD tracker

Fix tab in tracking.rst

Fixed builder warning

Fixed warnings
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