avoid overflow in histogram access

Stereo branch

remove floor call

removed the filterSpeckles, getValidDisparityROI, validateDisparities functions and added the calib3d module in the dependency

vs2010 does not know, ceil, floor, round and friends.

also, those are plain integer divisions, that do not need floor at all.

Basic HAL-accelerated autowbGrayworld

added INRIA pedestrian dataset

changed the ptr<StereBinaryBM> to ptr<cv::stereo::StereoBinaryBM>

modified the documentation

modified documentation for the stereo_c

documentation

doc

fixed two issues

modfified the precomp.hpp header by explicitly adding the cvdef header from core

modified comments for documentation for stereo and removed some headers

added a header and modified some function definition

test

test 2

changed exports_w to exports

removed the correct matches module

made some extra changes to the modules so I receive no warnings

moved the opencv2/core/private.hpp from stereo_binary_sgbm.cpp to precomp.hpp

Update README.md

Fix for Bug 4074. This seems to be just a typo-error.

Fix for Bug #3633: do away with "quads [2][3] = 255;" The four lowest bits in each quads[i][j] correspond to the 2x2 binary patterns Q_1, Q_2, Q_3 in the NM paper [1] (see in page 4 at the end of first column). Q_1 and Q_2 have four patterns, while Q_3 has only two.

Fix for Bug 4074. This seems to be just a typo-error, because the Tesseract API can handle correctly with RGB images (double-checked and it works).

Interface and demo for disparity filtering, basic WLS implementation

Bugfix Normalization / Enhance "float/double" mode queries for DAISY.

Bug fix for feature extraction

BugFix & Enhance DAISY.

According to CartToPolar() function documentation, result angles could be in range (0..360). To prevent index overflow this check is important.

fixed several warnings in opencv_contrib (text, xfeatures2d)

fixed several warnings in opencv_contrib (text, xfeatures2d); added tesseract installation mini-guide in text/readme.md

Add rotation invariance option for BRIEF descriptor.

Added basic interface and demo for disparity filtering, added unoptimized fast weighted least
squares filter implementation. Current demo tests domain transform, guided and
weighted least squares filters on a dataset, measures speed and quality.