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
Implementation of Quasi Dense Stereo algorithm. (#1941)
* initial commit.
* Remove license header.
* Fix python wrap flags
* Change std::string to cv::String, in function declarations, to resolve compilation issues.
* Add python wrapper extending header
* Fix python wrapper conflicts
* Fix implicit type conversions
* Change C API types and enums to C++.
* Remove redundant included headers and move wanted headers to src/precomp.hpp
* Remove saturate header
* Remove unnecessary python wrapping flags
* Removed defaults parameter header
* Split declaration and implementation of the class using Pimpl.
* Fix to comply with new public API.
* Remove unnecessary modules
* Fix maybe-uninitialized warnings on linux
* Migration to stereo module
* Remove CV_PROP_RW flag.
* Remove CV_EXPORTS flags from class members.
* Fix: Removed misplaced flag
* Remove empty lines.
* Move queue to private headers.
* Fix default arguments of public methods.
* Add authors information and switch to the compact version of license header.
* Reorganize and fix markdown files. Create a table of content and move tutorials in new directories. Modify samples and tutorials to use snippet and include Doxygen commands.
* Change argument name dMatch->denseMatch, to avoid confusion with cv::DMatch build-in type.
* Remove duplicate snippet.
* Fix: change vector resize to reserve.
* Fix: replace extensive license header with the compact version.
I think that that there was a typo in the variable names. fill2, texture2, and size2 were never used.
Also, minor fix to reduce initialization costs of vector
