first parameter of createERFilterNM1/createERFilterNM2 is now mandatory. changed the sample program to use the new prototypes

renamed getDefaultClassifierNM{1,2}() to loadClassifierNM{1,2}() and added "const std::string& filename" parameter (mandatory).

functions getDefaultClassifierNM1() and getDefaultClassifierNM2() allow to implicitly load the default classifiers when creating a ERFilter object

fix thin-prism coefficients at 0's in the stereo calibration function unless the flag CALIB_THIN_PRISM_MODEL is explicitly set

I didn't make the status part of the version variables here, because
letters don't play too well with version comparison algorithms
(especially with CMake's, which only supports numbers).

This will allow us to distinguish between regular releases, prereleases
and development versions.

Aligned strings in CMakeList

Modified the check on plantuml extension

Some fixes

Moved find_host_program for plantuml script

Conflicts:
	.gitignore
	doc/tutorials/objdetect/cascade_classifier/cascade_classifier.rst
	modules/gpu/src/match_template.cpp
	modules/imgproc/include/opencv2/imgproc/imgproc.hpp
	modules/ocl/include/opencv2/ocl/ocl.hpp
	modules/ocl/perf/perf_precomp.hpp

Previously we incorrectly assumed data was aligned in 16 bytes, which should be 32.

Replace all "float" by "double" (64-bit) to avoid "lose precision"
warnings.

Fixed integer vs unsigned integer comparison in .cpp test source and
trailing whitespaces in source code

As the opencv's build-bot did not want to compile this revision, I had
to do some changes. In particular,
1) Removed unsigned int vs int comparisons, that were treated as errors
2) Removed unused variables and functions
3) Removed functions without previous declaration
4) Fixed whitespaces

This is an implementation of primal-dual algorithm, based on the C++
source code by Vadim Pisarevsky. It was extended to handle the denoising
based on multiple observations. It also contains documentation and
tests.

Using cv::magnitude instead of custom loop and Mat<float> instead of Mat<double> to compute gradient magnitude channel.