RgbdNormals: setMethod() removed as useless
RgbdNormals: tests + cross product, to be fixed
+ cross product
LINEMOD: diffThreshold param added + tests fixed
minor
diffThreshold fix
points3dToDepth16U fix
normals computer diffThreshold fix
random plane generation fixed + diffThreshold fix
Rendered normals test rewritten to GTest Params
random plane generation: scale
RGBD_Normals tests: thresholds tuned
Rendered normals tests: 64F support added
Random planes normal tests rewritten to GTest Params
LINEMOD and CrossProduct fix
SRI threshold raised
NormalsRandomPlanes: thresholds raised
assert on unknown alg; minor
fix
frame size reduced
TIFF replaced by YAML.GZ
depthTo3d test changed
cv::transform is used
fix warning
nanMask()
flipAxes()
absDotPixel() + forgotten code
helper functions removed
RGBDNormals: checkNormals() and compare LINEMOD's pts3d to depth input
Rendered: another criteria; thresholds; LINEMOD's pts3d to depth input comparison
thresholds raised a bit
SRI slightly optimized
assert change
normal tests refactored, parametrized, split
trailing namespace, thresholds raised
SRI caching optimized a lot
normal tests rewritten to fixture, no loop
minor
runCase() joined with testIt()
thresholds were put into GTest params
ternary operator
RgbdNormalsTest merged into NormalsRandomPlanes; RgbdPlanes moved closer to tests
normal test minor refactoring
plane finder tests refactored to GTest Params
skip tests
thresholds raised
plane test minor
plane tests: timers dropped, nPlanes put into GTest Params; refactoring
generated normals tests: minor refactoring
flipAxes() templated
rendered normals tests refactored: thresholds to GTest Params
CV_Error -> ASSERT_FALSE
Add normal estimation and region growing algorithm for point cloud
* Add normal estimation and region growing algorithm for point cloud
* 1.Modified documentation for normal estimation;2.Converted curvature in region growing to absolute values;3.Changed the data type of threshold from float to double;4.Fixed some bugs;
* Finished documentation
* Add tests for normal estimation. Test the normal and curvature of each point in the plane and sphere of the point cloud.
* Fix some warnings caused by to small numbers in test
* Change the test to calculate the average difference instead of comparing each normal and curvature
* Fixed the bugs found by testing
* Redesigned the interface and fixed problems:
1. Make the interface compatible with radius search.
2. Make region growing optionally sortable on results.
3. Modified the region growing interface.
4. Format reference.
5. Removed sphere test.
* Fix warnings
* Remove flann dependency
* Move the flann dependency to the corresponding test
GSoC module to save and load point cloud
* Add functionality to read point cloud data from files
* address issues found on review, add tests for mesh, refactor
* enable fail-safe execution and empty arrays as output
* Some improvements for point cloud io module
Co-authored-by: Julie Bareeva <julia.bareeva@xperience.ai>
Add support for 3D point cloud segmentation, using the USAC framework.
* Modify the RANSAC framework in usac such that RANSAC can be used in 3D point cloud segmentation.
* 1. Add support for 3D point cloud segmentation, using the USAC framework.
2. Add solvers, error estimators for plane model and sphere model.
* Added code samples to the comments of class SACSegmentation.
* 1. Update the segment interface parameters of SACSegmentation.
2. Fix some errors in variable naming.
* Add tests for plane detection.
* 1. Add tests for sphere segmentation.
2. Fix some bugs found by tests.
3. Rename "segmentation" to "sac segmentation".
4. Rename "detect" to "segment".
TODO: Too much duplicate code, the structure of the test needs to be rebuilt.
* 1. Use SIMD acceleration for plane model and sphere model error estimation.
2. Optimize the RansacQualityImpl#getScore function to avoid multiple calls to the error#getError function.
3. Fix a warning in test_sac_segmentation.cpp.
* 1. Fix the warning of ModelConstraintFunction ambiguity.
2. Fix warning: no previous declaration for'void cv::usac::modelParamsToUsacConfig(cv::Ptr<cv::usac::SimpleUsacConfig>&, const cv::Ptr<const cv::usac::Model>& )
* Fix a warning in test_sac_segmentation.cpp about direct comparison of different types of data.
* Add code comments related to the interpretation of model coefficients.
* Update the use of custom model constraint functions.
* Simplified test code structure.
* Update the method of checking plane models.
* Delete test for cylinder.
* Add some comments about UniversalRANSAC.
* 1. The RANSAC paper in the code comments is referenced using the bibtex format.
2. The sample code in the code comments is replaced using @snippet.
3. Change the public API class SACSegmentation to interface.
4. Clean up the old useless code.
* fix warning(no previous declaration) in 3d_sac_segmentation.cpp.
* Fix compilation errors caused by 3d_sac_segmentation.cpp.
* Move the function sacModelMinimumSampleSize() from ptcloud.hpp to sac_segmentation.cpp.
* 1. Change the interface for setting the number of threads to the interface for setting whether to be parallel.
2. Move interface implementation code in ptcloud_utils.hpp to ptcloud_utils.cpp.
* SACSegmentation no longer inherits Algorithm.
* Add the constructor and destructor of SACSegmentation.
* 1. For the declaration of the common API, the prefix and suffix of the parameter names no longer contain underscores.
2. Rename the function _getMatFromInputArray -> getPointsMatFromInputArray.
3. Change part of CV_CheckDepth to CV_CheckDepthEQ.
4. Remove the doxygen flag from the source code.
5. Update the loop termination condition of SIMD in the point cloud section of 3D module.
* fix warning: passing 'bool' chooses 'int' over 'size_t {aka unsigned int}' .
* fix warning: passing 'bool' chooses 'int' over 'size_t {aka unsigned int}' .
New odometry Pipeline
* first intergation
* tests run, but not pass
* add previous version of sigma calc
* add minor comment
* strange fixes
* fix fast ICP
* test changes; fast icp still not work correctly
* finaly, it works
* algtype fix
* change affine comparison
* boolean return
* fix bug with angle and cos
* test pass correctly
* fix for kinfu pipeline
* add compute points normals
* update for new odometry
* change odometry_evaluation
* odometry_evaluation works
* change debug logs
* minor changes
* change depth setting in odometryFrame
* fastICP works with 4num points
* all odometries work with 4mun points
* odometry full works on 4num points and normals
* replace ICP with DEPTH; comments replacements
* create prepareFrame; add docs for Odometry
* change getPyramids()
* delete extra code
* add intrinsics; but dont works
* bugfix with nan checking
* add gpu impl
* change createOdometryFrame func
* remove old fastICP code
* comments fix
* add comments
* minor fixes
* other minor fixes
* add channels assert
* add impl for odometry settings
* add pimpl to odometry
* linux warning fix
* linux warning fix 1
* linux warning fix 2
* linux error fix
* linux warning fix 3
* linux warning fix 4
* linux error fix 2
* fix test warnings
* python build fix
* doxygen fix
* docs fix
* change normal tests for 4channel point
* all Normal tests pass
* plane works
* add warp frame body
* minor fix
* warning fixes
* try to fix
* try to fix 1
* review fix
* lvls fix
* createOdometryFrame fix
* add comment
* const reference
* OPENCV_3D_ prefix
* const methods
* OdometryFramePyramidType ifx
* add assert
* precomp moved upper
* delete types_c
* add assert for get and set functions
* minor fixes
* remove core.hpp from header
* ocl_run add
* warning fix
* delete extra comment
* minor fix
* setDepth fix
* delete underscore
* odometry settings fix
* show debug image fix
* build error fix
* other minor fix
* add const to signatures
* fix
* conflict fix
* getter fix
Accelerated 3D point cloud Farthest Point Sampling calculation using SIMD.
* Add several 3D point cloud sampling functions: Random, VoxelGrid, FarthestPoint.
* Made some code detail changes and exposed the random number generator parameters at the interface.
* Add simple tests for sampling.
* Modify interface output parameters.
* Modify interface return value.
* The sampling test is modified for the new changes of function interface.
* Improved test of VoxelGridFilterSampling
* Improved test of VoxelGridFilterSampling and FPS.
* Add test for the dist_lower_limit arguments of FPS function.
* Optimization function _getMatFromInputArray.
* Optimize the code style and some details according to the suggestions.
* Clear prefix cv: in the source code.
* Change the initialization of Mat in the sampling test.
* 1. Unified code style
2. Optimize randomSampling method
* 1. Optimize code comments.
2. Remove unused local variables.
* Rebuild the structure of the test, make the test case more reliable, and change the code style.
* Update test_sampling.cpp
Fix a warning.
* Use SIMD to optimize the farthest point sampling.
* Optimize the farthest point sampling SIMD code.
* 1. remove `\n` from the ptcloud.hpp comment.
2. updated the default value of the argument arrangement_of_points in the _getMatFromInputArray function in ptcloud_utils.hpp from 0 to 1, since the latter is more commonly used (such arrangement is easier for SIMD acceleration).
3. removed two functions in ptcloud_utils.hpp that were not used.
* Remove the <br> in the comment.
* Fix whitespace issues.
Add 3D point cloud sampling functions to branch next
* Add several 3D point cloud sampling functions: Random, VoxelGrid, FarthestPoint.
* Made some code detail changes and exposed the random number generator parameters at the interface.
* Add simple tests for sampling.
* Modify interface output parameters.
* Modify interface return value.
* The sampling test is modified for the new changes of function interface.
* Improved test of VoxelGridFilterSampling
* Improved test of VoxelGridFilterSampling and FPS.
* Add test for the dist_lower_limit arguments of FPS function.
* Optimization function _getMatFromInputArray.
* Optimize the code style and some details according to the suggestions.
* Clear prefix cv: in the source code.
* Change the initialization of Mat in the sampling test.
* 1. Unified code style
2. Optimize randomSampling method
* 1. Optimize code comments.
2. Remove unused local variables.
* Rebuild the structure of the test, make the test case more reliable, and change the code style.
* Update test_sampling.cpp
Fix a warning.
