* Fixed type narrowing issues

- Use shfl_down, instead of __shfl_down, on warp scan
- Remove race conditions

original commit: https://github.com/opencv/opencv/commit/2b6be3cb0f937014a73e9dcaf38f611e35b19c6c

This built correctly before because tests were run with the highgui module enabled.
The sfm module links against the features2d module, which brings in the highgui module as an optional target if enabled.
Through this path, imread was working correctly despite the file including the wrong header and not declaring its linking dependency.

* Fixed typo

* Resolved the typo and trailing space error

- Fix hanging issue on 2080 Ti
- Fix racing issue

original commit: https://github.com/opencv/opencv/commit/1a961660d8da692cf6cf80061ba9f689375195e9

Image Quality Analysis (IQA) API (#1990)

* Implement Quality API

* Update README, fixes for gcc/tests

* Add license headers

* Update README

* Update README

* Case fixing, CMakeLists.txt update

* Update CV_EXPORTS_W

* Updates for compiler and doxygen warnings

* Updates for doxygen

* Updates based on feedback from @alalek

* Compliance updates

* case fixing

* case fixing

* OpenCL test fixes

* Case fixing

* Python fixes

* Python fixes

* Compliance updates

* Python binding fix

* Documentation updates

* Update README, fix cv::Scalar ops

* Updated precompiled headers for src cpp

* Removed internal a/b perf tests

Expose line descriptor python (#1994)

* Created wrappers for other line_descriptor functions/classes

* Changes to expose LSD and EDLines params in Python and make line descriptor available in Python

original commit: https://github.com/opencv/opencv/commit/21eb60f88bce4e9e4bedffcd28b29c75c404e788

Due to size limit of shared memory, histogram is built on
the global memory for CV_16UC1 case.

The amount of memory needed for building histogram is:

    65536 * 4byte = 256KB

and shared memory limit is 48KB typically.

Added test cases for CV_16UC1 and various clip limits.
Added perf tests for CV_16UC1 on both CPU and CUDA code.

There was also a bug in CV_8UC1 case when redistributing
"residual" clipped pixels. Adding the test case where clip
limit is 5.0 exposes this bug.

original commit: https://github.com/opencv/opencv/commit/fb8e652c3f20d377e9f935faee370ed28fb60122

* __shfl_up_sync with proper mask value for CUDA >= 9

* BlockScanInclusive for CUDA >= 9

* compatible_shfl_up for use in integral.hpp

* Use CLAHE in cudev

* Add tests for BlockScan

original commit: https://github.com/opencv/opencv/commit/970293a229ef314603ffaf77fc62495bf849aba8

* Fix spelling of perpectiveRemovePixelPerCell in struct docstring

* Fix spelling of perpectiveRemovePixelPerCell in detection tutorial

- Before this PR, following tests failed on some platform.
  CUDA_OptFlow/FarnebackOpticalFlow.Accuracy/19
  CUDA_OptFlow/FarnebackOpticalFlow.Accuracy/23

- The algorithm now recognizes the OPTFLOW_USE_INITIAL_FLOW flag.
  Previously, when the flag was set, it did not use the flow data
  passed as input, instead used some garbage data in memory.

- More strict test limit.

original commit: https://github.com/opencv/opencv/commit/4366c8734fa7cf69c4a9bdcea91f41d1af345e9c

Resolves #1963

Add robust local optical flow (RLOF) implementations (#1940)

* Add robust local optical flow (RLOF) implementations which is an improved pyramidal iterative Lucas-Kanade approach. This implementations contains interfaces for sparse optical flow for feature tracking and dense optical flow based on sparse-to-dense interpolation schemes.
Add performance and accuracy tests have been implementation as well as documentation with the related publications

* - exchange tabs with spaces
- fix optflow.bib indentation
- remove optflow_o.hpp
- change RLOFOpticalFlowParameter interfaces to Ptr<RLOFOpticalFlowParameter>
to remove error on building. Fix warnings

* introducing precompiler flag RLOD_SSE

* remove header that could not be found

* remove whitespaces
fix perf and accuracy tests

* remove x86intrin.h header

* fix ios and arm by removing last sse commands

* fix warnings for windows compilation

* fix documentation RLOFOpticalFlowParameter

* integrate cast to remove last warnings

* * add create method and function inferfaces to RLOFOpticalFlowParamter to enable python wrapper interfaces

* white space fixes / coding style

* fix perf test

* other changes: precomp.hpp / static

* use Matx44f and Vec4f instead of Mat

* normSigmas into constants

* replace ceil() calls

* maximum level is set to 5 so that it is similar value used in the papers

* implement paralellized horizontal cross segmentation as used in Geistert2016

* drop dead code

* Avoid using "data" and "step" calculations. Use .ptr<mat_type>(row, col) instead.

* Avoid using "data" and "step" calculations. Use .ptr<mat_type>(row, col) instead.

* bugfix on BEPLK with ica and adapt the accuracy tests

* more 'static' functions

* bugfix after changing ptr + step to .ptr(y,x) calls by adjusting ROI of
prevImage, currImage and derivI as well as changing the offset of the
points in the invoker classes.

* add some static_cast to avoid warning

* remove 50 grid size sample from perf test. This grid size is to sparse
for the epic interpolation

* remove notSameColor function since it is not used anymore