Commit Graph

289 Commits

Author SHA1 Message Date
Alexander Alekhin
c7422e4d90 Merge pull request #18171 from catree:fix_pnp_doc 2020-08-25 18:24:30 +00:00
Alexander Alekhin
485d2b593c Merge pull request #18178 from catree:improve_camera_matrix_doc 2020-08-25 13:33:39 +00:00
catree
379b83e946 Fix cubic root computation to be able to handle negative values. Improve doc. Add regression test. 2020-08-25 03:37:56 +02:00
catree
dda1bf1887 Add broken implementation note for DLS and UPnP.
Add CV_LOG_DEBUG.
2020-08-25 03:07:00 +02:00
catree
cd01ee9a54 Use camera intrinsic matrix everywhere. Add cameramatrix, distcoeffs and distcoeffsfisheye macros to avoid copy/paste errors. 2020-08-24 05:39:23 +02:00
Maksym Ivashechkin
a66f61748f
Merge pull request #17683 from ivashmak:homography
[GSoC] New RANSAC. Homography part

* change enum and squash commits

* add small improvements

* change function to static, update magsac

* remove path from samples, remove license, small updates

* update pnp solver, small improvements

* fix warnings

* add tutorial, comments

* fix markdown warnings

* fix markdown warnings

* fix markdown warnings
2020-08-14 22:42:26 +00:00
Vadim Pisarevsky
a2f7ef9d21
Merge pull request #17816 from vpisarev:essential_2cameras
* add findEssentialMat for two different cameras

* added smoke test for the newly added variant of findEssentialMatrix

Co-authored-by: tompollok <tom.pollok@gmail.com>
2020-07-29 16:28:01 +03:00
Alexander Alekhin
7722a2b8a8 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-06-04 17:58:34 +00:00
Rasmus Diederichsen
345e071b24 Add instructions for how to use findEssentialMat() when camera matrices are different 2020-06-02 12:19:49 +03:00
Alexander Alekhin
bfcc136dc7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-21 21:32:51 +00:00
Ganesh Kathiresan
0be2c7018b Formula Fixes for 3.4 branch
Foumula fix 1

Foumula fix 2

Foumula fix 3

Foumula fix 4

Foumula fix 5

Foumula fix 8
2020-04-21 19:23:23 +05:30
GFleishman
31ec9b2aa7
Merge pull request #16614 from GFleishman:estimateTranslation3D
added estimateTranslation3D to calib3d/ptsetreg

* added estimateTranslation3D; follows API and implementation structure for estimateAffine3D, but only allows for translation

* void variables in null function to suppress compiler warnings

* added test for estimateTranslation3D

* changed to Matx13d datatype for translation vector in ptsetreg and test; used short license in test

* removed iostream include

* calib3d: code cleanup
2020-04-07 19:58:25 +00:00
Moritz Fischer-Gundlach
2740901378 -calib3d updates documentation
backporting commit 99436bb8cf
2020-03-27 16:02:29 +00:00
Moritz Fischer-Gundlach
99436bb8cf -calib3d updates documentation 2020-03-26 15:22:39 +01:00
Alexander Alekhin
ca23c0e630 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-17 13:23:33 +03:00
Alexander Alekhin
27b71d6368 Merge pull request #16625 from D-Alex:findChessboard 2020-03-09 22:21:29 +00:00
Alexander Duda
44560c3e50 calib3d: add estimateChessboardSharpness
Image sharpness, as well as brightness, are a critical parameter for
accuracte camera calibration. For accessing these parameters for
filtering out problematic calibraiton images, this method calculates
edge profiles by traveling from black to white chessboard cell centers.
Based on this, the number of pixels is calculated required to transit
from black to white. This width of the transition area is a good
indication of how sharp the chessboard is imaged and should be below
~3.0 pixels.

Based on this also motion blur can be detectd by comparing sharpness in
vertical and horizontal direction. All unsharp images should be excluded
from calibration as they will corrupt the calibration result. The same
is true for overexposued images due to a none-linear sensor response.
This can be detected by looking at the average cell brightness of the
detected chessboard.
2020-03-09 08:58:18 +01:00
Eduard Trulls
7e637c134f Expose maxIters in findFundamentalMat
Lets the user choose the maximum number of iterations the robust
estimator runs for, similary to findHomography. This can significantly
improve performance (at a computational cost).
2020-03-07 18:03:44 +03:00
Alexander Duda
a41cbbdc99 findChessboardCornersSB: performance + support for full FOV boards with markers
Changes:

* UMat for blur + rotate resulting in a speedup of around 2X on an i7
* support for boards larger than specified allowing to cover full FOV
* support for markers moving the origin into the center of the board
* increase detection accuracy

The main change is for supporting boards that are larger than the FOV of
the camera and have their origin in the board center. This allows
building OEM calibration targets similar to the one from intel real
sense utilizing corner points as close as possible to the image border.
2020-02-21 14:01:47 +01:00
Alexander Alekhin
225566da7b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-04 19:49:24 +03:00
Vadim Pisarevsky
5c6d319ebc
Merge pull request #16493 from vpisarev:bordertype_sgbm_doc_fixes
* added note about BORDER_TYPE in separable filters; fixed SGBMStereo description

* added # to BORDER_ constants to generate hyperlinks
2020-02-04 14:30:16 +03:00
Alexander Alekhin
bf2f7b0f8b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-01 17:26:00 +00:00
midjji
86e5e8d765
Merge pull request #15993 from midjji:master
This is a correction of the previously missleading documentation and a warning related to a common calibration failure described in issue 15992

* corrected incorrect description of failed calibration state.

see issue 15992

* calib3d: apply suggestions from code review by catree
2020-01-31 17:50:21 +03:00
Brian Wignall
f9c514b391 Fix spelling typos
backport commit 659ffaddb4
2019-12-27 12:46:53 +00:00
Brian Wignall
659ffaddb4 Fix spelling typos 2019-12-26 06:45:03 -05:00
Alexander Alekhin
8108fb0575 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-05 18:27:45 +03:00
Alexander Alekhin
4b0132ed7a Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-02 16:26:52 +03:00
catree
43d58aa760 Improve calib3d documentation:
- add reference to Rodrigues Jacobian
  - add references to SE(3) and Lie Groups topics
  - update some conventions and pinhole figure
2019-12-02 03:04:56 +01:00
sajarindider
101a147496 fixed Scheimpflug typo 2019-11-30 18:52:23 +00:00
Alexander Alekhin
0d7f770996 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-04 09:58:29 +00:00
Oleg Alexandrov
53139e6ebe Merge pull request #15838 from oleg-alexandrov:patch-2
Correct stereoRectify documentation
2019-11-03 16:37:25 +03:00
Oleg Alexandrov
d56535afce Merge pull request #15820 from oleg-alexandrov:patch-1
Clarify stereoRectify() doc

The function stereoRectify() takes as input a coordinate transform between two cameras. It is ambiguous how it goes. I clarified that it goes from the second camera to the first.
2019-11-01 22:34:11 +03:00
Oleg Alexandrov
af433d0352 Merge pull request #15780 from oleg-alexandrov:master
* Doc bugfix

The documentation page StereoBinaryBM and StereoBinarySGBM says that it returns a disparity that is scaled multiplied by 16. This scaling must be undone before calling reprojectImageTo3D, otherwise the results are wrong. The function reprojectImageTo3D() could do this scaling internally, maybe, but at least the documentation must explain that this has to be done.

* calib3d: update reprojectImageTo3D documentation

* calib3d: add StereoBM/StereoSGBM into notes list
2019-10-31 22:28:01 +03:00
Guillaume Jacob
4a28ef8034 calib3d: fix format in findChessboardCornersSB doxygen 2019-07-18 10:04:47 +02:00
Alexander Alekhin
ddcf388270 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-06-07 19:02:55 +03:00
Ahmed Ashour
5c56b8ce92 java: generated code to have javadoc 2019-06-05 12:44:03 +02:00
Alexander Alekhin
43467a2ac7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-28 18:29:48 +00:00
Alexander Alekhin
166ecaeda8 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-23 19:50:20 +03:00
catree
7ed858e38e Fix issue with solvePnPRansac and Nx3 1-channel input when the number of points is 5. Try to uniform the input shape of projectPoints and undistortPoints. 2019-05-22 14:19:16 +02:00
catree
33cb9c5ca5 Add SOLVEPNP_IPPE for planar pose estimation. Add solvePnPGeneric function that returns all the pose solutions and the reprojection errors. 2019-05-20 11:56:54 +02:00
Alexander Alekhin
d784b40e24 calib3d(docs): examples paragraph is related to findHomography() 2019-05-14 19:20:40 +00:00
Alexander Alekhin
b2abd8ca41 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-07 16:04:54 +00:00
Alexander Alekhin
e28e3c9491 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-01 08:27:45 +00:00
catree
dac31e84fb Add solvePnPRefineLM to refine a pose according to a Levenberg-Marquardt iterative minimization process. Add solvePnPRefineVVS to refine a pose using a virtual visual servoing scheme. 2019-04-30 14:31:11 +02:00
Thang Tran
2f7fc1a598 calib3d: add find4QuadCornerSubpix java wrapper
Fixes: https://github.com/opencv/opencv/issues/14169
2019-04-24 08:45:28 +02:00
Alexander Alekhin
8c25a8eb7b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-03-22 19:31:31 +03:00
Bharat123Rox
ea68f7ea1e Remove dead link in calib3d.hpp 2019-03-21 07:41:32 +05:30
Alexander Alekhin
332c37f332 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-03-06 11:43:16 +03:00
catree
bbf39b0964 Add Hand-Eye calibration methods (Tsai, Park, Horaud, Andreff, Daniilidis). 2019-03-05 14:51:33 +01:00
Vadim Pisarevsky
8f15a609af
mostly removed obsolete C API from calib3d (at least at the interface level) (#13081) 2018-11-09 16:12:22 +03:00
Alexander Alekhin
687fa6a8ca Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-11-02 05:33:35 +00:00
Vadim Pisarevsky
0f622206e4
completely new C++ persistence implementation (#13011)
* integrated the new C++ persistence; removed old persistence; most of OpenCV compiles fine! the tests have not been run yet

* fixed multiple bugs in the new C++ persistence

* fixed raw size of the parsed empty sequences

* [temporarily] excluded obsolete applications traincascade and createsamples from build

* fixed several compiler warnings and multiple test failures

* undo changes in cocoa window rendering (that was fixed in another PR)

* fixed more compile warnings and the remaining test failures (hopefully)

* trying to fix the last little warning
2018-11-02 00:27:06 +03:00
Alexander Alekhin
2268ed1b6e Merge pull request #12948 from catree:add_drawFrameAxes 2018-10-30 13:33:01 +00:00
catree
d37164bab6 Fix distortion figure in calib3d. Positive radial distortion corresponds to pincushion distortion and negative to barrel distortion. Add another figure that illustrates the influence of k1 in the distortion effect. 2018-10-26 20:27:37 +02:00
kamino410
3972c526ce fix document about camera distortion parameters 2018-10-26 19:55:46 +09:00
Wenfeng CAI
31be03a805 Merge pull request #12772 from xoox:calib-release-object
More accurate pinhole camera calibration with imperfect planar target (#12772)
43 commits:

* Add derivatives with respect to object points

Add an output parameter to calculate derivatives of image points with
respect to 3D coordinates of object points. The output jacobian matrix
is a 2Nx3N matrix where N is the number of points.

This commit introduces incompatibility to old function signature.

* Set zero for dpdo matrix before using

dpdo is a sparse matrix with only non-zero value close to major
diagonal. Set it to zero because only elements near major diagonal are
computed.

* Add jacobian columns to projectPoints()

The output jacobian matrix of derivatives with respect to coordinates of
3D object points are added. This might break callers who assume the
columns of jacobian matrix.

* Adapt test code to updated project functions

The test cases for projectPoints() and cvProjectPoints2() are updated to
fit new function signatures.

* Add accuracy test code for dpdo

* Add badarg test for dpdo

* Add new enum item for new calibration method

CALIB_RELEASE_OBJECT is used to whether to release 3D coordinates of
object points. The method was proposed in: K. H. Strobl and G. Hirzinger.
"More Accurate Pinhole Camera Calibration with Imperfect Planar Target".
In Proceedings of the IEEE International Conference on Computer Vision
(ICCV 2011), 1st IEEE Workshop on Challenges and Opportunities in Robot
Perception, Barcelona, Spain, pp. 1068-1075, November 2011.

* Add releasing object method into internal function

It's a simple extension of the standard calibration scheme. We choose to
fix the first and last object point and a user-selected fixed point.

* Add interfaces for extended calibration method

* Refine document for calibrateCamera()

When releasing object points, only the z coordinates of the
objectPoints[0].back is fixed.

* Add link to strobl2011iccv paper

* Improve documentation for calibrateCamera()

* Add implementations of wrapping calibrateCamera()

* Add checking for params of new calibration method

If input parameters are not qualified, then fall back to standard
calibration method.

* Add camera calibration method of releasing object

The current implementation is equal to or better than
https://github.com/xoox/calibrel

* Update doc for CALIB_RELEASE_OBJECT

CALIB_USE_QR or CALIB_USE_LU could be used for faster calibration with
potentially less precise and less stable in some rare cases.

* Add RELEASE_OBJECT calibration to tutorial code

To select the calibration method of releasing object points, a command
line parameter `-d=<number>` should be provided.

* Update tutorial doc for camera_calibration

If the method of releasing object points is merged into OpenCV. It will
be expected to be firstly released in 4.1, I think.

* Reduce epsilon for cornerSubPix()

Epsilon of 0.1 is a bigger one. Preciser corner positions are required
with calibration method of releasing object.

* Refine camera calibration tutorial

The hypothesis coordinates are used to indicate which distance must be
measured between two specified object points.

* Update sample calibration code method selection

Similar to camera_calibration tutorial application, a command line
argument `-dt=<number>` is used to select the calibration method.

* Add guard to flags of cvCalibrateCamera2()

cvCalibrateCamera2() doesn't accept CALIB_RELEASE_OBJECT unless overload
interface is added in the future.

* Simplify fallback when iFixedPoint is out of range

* Refactor projectPoints() to keep compatibilities

* Fix arg string "Bad rvecs header"

* Read calibration flags from test data files

Instead of being hard coded into source file, the calibration flags will
be read from test data files.
opencv_extra/testdata/cv/cameracalibration/calib?.dat must be sync with
the test code.

* Add new C interface of cvCalibrateCamera4()

With this new added C interface, the extended calibration method with
CALIB_RELEASE_OBJECT can be called by C API.

* Add regression test of extended calibration method

It has been tested with new added test data in xoox:calib-release-object
branch of opencv_extra.

* Fix assertion in test_cameracalibration.cpp

The total number of refined 3D object coordinates is checked.

* Add checker for iFixedPoint in cvCalibrateCamera4

If iFixedPoint is out of rational range, fall back to standard method.

* Fix documentation for overloaded calibrateCamera()

* Remove calibration flag of CALIB_RELEASE_OBJECT

The method selection is based on the range of the index of fixed point.
For minus values, standard calibration method will be chosen.  Values in
a rational range will make the object-releasing calibration method
selected.

* Use new interfaces instead of function overload

Existing interfaces are preserved and new interfaces are added. Since
most part of the code base are shared, calibrateCamera() is now a
wrapper function of calibrateCameraRO().

* Fix exported name of calibrateCameraRO()

* Update documentation for calibrateCameraRO()

The circumstances where this method is mostly helpful are described.

* Add note on the rigidity of the calibration target

* Update documentation for calibrateCameraRO()

It is clarified that iFixedPoint is used as a switch to select
calibration method. If input data are not qualified, exceptions will be
thrown instead of fallback scheme.

* Clarify iFixedPoint as switch and remove fallback

iFixedPoint is now used as a switch for calibration method selection. No
fallback scheme is utilized anymore. If the input data are not
qualified, exceptions will be thrown.

* Add badarg test for object-releasing method

* Fix document format of sample list

List items of same level should be indented the same way. Otherwise they
will be formatted as nested lists by Doxygen.

* Add brief intro for objectPoints and imagePoints

* Sync tutorial to sample calibration code

* Update tutorial compatibility version to 4.0
2018-10-25 19:38:55 +03:00
catree
644846c702 Add a function that draws frame axes. Useful for debugging purpose and to check the correctness of the output of a pose estimation method. 2018-10-25 18:38:19 +02:00
Alexander Alekhin
8f1f4273a2 calib3d: move undistort files from imgproc 2018-10-05 07:52:21 +00:00
Alexander Duda
8811dabbac Merge pull request #12615 from D-Alex:master
findChessboardCornersSB: speed improvements (#12615)

* chessboard: fix do not modify const image

* chessboard: speed up scale space using parallel_for

* chessboard: small improvements

* chessboard: speed up board growing using parallel_for

* chessboard: add flags for tuning detection

* chessboard: fix compiler warnings

* chessborad: change flag name to CALIB_CB_EXHAUSTIVE

This also fixes a typo

* chessboard: fix const ref + remove to_string
2018-09-25 17:06:46 +03:00
Alexander Duda
a024593fa6 Merge pull request #12147 from D-Alex:master
* add new chessboard detector

The chessboar detector is based on the paper.
Accurate Detection and Localization of Checkerboard Corners for
Calibration Alexander Duda, Udo Frese
British Machine Vision Conference, o.A., 2018.

It utilizes point symmetry of checkerboard corners in combination with a
localized Radon transform approximated by box filters to achieve high
performance even on large images. Here, tests have shown that the
ability to localize checkerboard corners is close to the theoretical
limit of 1/100 of a pixel while being considerably less sensitive
to image noise than standard methods.

* chessboard: add reference to bibtex file

* chessboard: add dependency to opencv_flann

* fix: test chesscorners. It is valid to return an empty list

In case no chessboard was detected it should be valid for the detector
to return an empty list.

For simplifcation, it should be allowed to return any number of corners
if they are flagged as not found.

* fix: opencv.bib remove empty lines

* fix: doc findChessboardCorners replace cvSize with cv::Size

* chessboard tests: factor out logic selecting detector

* chessboard: add unit test for findChessboardCorners2

This is includes a new chessboard generator which supports subpix
corners with high accuracy by wrapping an optimal chessboard using
wrapPerspective.

* fix: chessboard unit test - overwrite of default parameter flag of findCirclesGrid

* chessboard: remove trailing whitespace

* chessboard: fix debug drawing

* chessboard: fix some issues during code review

* chessboard: normalize asymmetric chessboard

* chessboard: fix float double warning

* remove trailing whitespace

* chessboards: fix compiler warnings

* chessboards: fix compiler warnings

* checkerboard: some performance improvements

* chessboard: remove NULL macros for language bindinges from internal headers

* chessboard: shorten license terms

* chessboard: remove unused internal method

* chessboard: set helper functions to static

* chessboard: fix normalizePoints1D using unshifted points

* chessboard: remove wrongly copied text

* chessboard: use CV_CheckTypeEQ macro

* chessboard: comment all NaN checks

* chessboard: use consistent color conversion

* chessboard: use CheckChannelEQ macro

* chessboard: assume gray color image for internal methods

* chessboard: use std::swap

* chessboard: use Mat.dataend

* chessboard: fix compiler warnings

* chessboard: replace some checks witch CV_CHECK macro

* chessboard: fix comparison function for partial sort

* chessboard: small cleanup

* chessboard: use short license header

* chessboard: rename findChessboard2 to findChessboardSB

* chessboard: fix type in unit test
2018-09-13 15:43:04 +03:00
Alexander Alekhin
7d4bb9428b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-08-20 19:30:18 +03:00
Alexander Alekhin
31fef14d76 Merge pull request #12136 from sturkmen72:update_documentation 2018-08-17 14:02:20 +00:00
Suleyman TURKMEN
c61bc3a0cb Update documentation and samples 2018-08-17 14:21:29 +03:00
Tomoaki Teshima
f0c46a4c74 fix typo 2018-08-16 19:11:40 +09:00
Alexander Alekhin
3165baa1f1 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-07-02 14:58:29 +03:00
Vadim Pisarevsky
75ee536d6d
Filter homography decomp: updated PR #7153 (#11846)
* Add functionality to filter homography decompositions

* documentation + small refactor

* fix comparing int to size_t (compiler warning)

* fix whitespace issues

* clarification of function return values in documentation

* refactor of function parameters and change in loop nesting

* cleanup useless .h, fix size_t to int compare, small refactor

* fix documentation and whitespace

* change output from return value to outputarray parameter

* update function docs to reflect changes in parameters

* whitespace

* failing test

* fixed warnings related to extended initialisers and improper types

* initialize vectors from arrays

* initialize vectors from arrays part 2

* fix whitespace

* fix trailing whitespace

* Include <inttypes.h> in test_filter_homography_decomp.cpp, should fix 'uint8_t' : undeclared identifier error

* updated the test (made it shorter and providing better diagnostic) and significantly improved implementation (get rid of heavy repeated and/or unnecessary operations)

* fixed compile warning; removed trailing whitespace
2018-06-27 16:47:35 +03:00
Alexander Alekhin
ca922443db next(calib3d): eliminate CirclesGridFinderParameters2 2018-04-10 18:09:54 +03:00
Alexander Alekhin
2b2fa58f97 next: drop DISABLE_OPENCV_24_COMPATIBILITY 2018-04-10 18:09:53 +03:00
Pavel Rojtberg
203dc3bb48 Merge pull request #10667 from paroj:stereo_calib_ex
calib3d: add stereoCalibrateExtended (#10667)

* cvCalibrateCamera2Internal: simplify per view error computation

* calib3d: add stereoCalibrateExtended

- allow CALIB_USE_EXTRINSIC_GUESS
- returns per view errors

* calib3d: add stereoCalibrateExtended test
2018-01-26 22:05:13 +03:00
Fangjun Kuang
eb2901bd69 Improve the doc for fundamental matrix. 2018-01-19 13:41:47 +01:00
Fangjun Kuang
67842df9e2 Improve the documentation for affine transform estimation. 2018-01-18 19:54:18 +01:00
catree
87160cb297 Add Demo 5: Basic panorama stitching from a rotating camera in the homography tutorial. 2017-12-19 22:45:35 +01:00
Suleyman TURKMEN
1654dfe3a9 Update samples (#10333)
* Update samples

* Update calib3d.hpp

* Update calib3d.hpp

* Update calib3d.hpp

* Update calib3d.hpp
2017-12-18 13:44:11 +03:00
catree
fcb537bacd Add a figure and some formulas to illustrate the PnP pose estimation principle. 2017-12-17 21:38:22 +01:00
catree
2e56a47f8c Allow to use 3 points in SolvePnP if SOLVEPNP_ITERATIVE and useExtrinsicGuess==true. Add bibtex citations for P3P. Update SolvPnP tests. 2017-11-28 15:04:59 +01:00
Fakabbir Amin
a0c658b012 Merge pull request #9979 from fakabbir:ImproveDoc
* Improve Documentation
Fixes Spelling Mistakes.
2017-11-08 16:55:48 +00:00
KUANG Fangjun
67acfc6e25 improve doc. 2017-10-31 10:30:01 +01:00
Pavel Rojtberg
629a06d9b6 calib3d: export parameters of CALIB_CB_CLUSTERING 2017-10-02 14:27:32 +02:00
Vladislav Sovrasov
ef7833a271 calib3d: add CALIB_FIX_TANGENT_DIST flag to stereoCalibrate 2017-08-25 13:05:16 +03:00
Alexander Alekhin
dcb3c4ff1e Merge pull request #9189 from tomoaki0705:fixCalib3dRandom 2017-07-20 12:24:34 +00:00
Tomoaki Teshima
46bee83005 fix the test fail on Calib3d_SolvePnP.accuracy
* move array size to enum
  * move array size to member variable
  * loosen the eps of SOLVEPNP_P3P
  * loosen the eps in Calib3d_SolveP3P.accuracy
2017-07-20 06:32:32 +09:00
catree
98c78e0acd Use directly solvePnP when the number of input points is equal to the number of model points. Enable useExtrinsicGuess parameter. Return rvec and tvec estimated using all the inliers instead of the best rvec and tvec estimated during the Minimal Sample Sets step. Document the behavior of solvePnPRansac. 2017-07-05 13:17:38 +02:00
Tong Ke
8088d6785a Merge pull request #8585 from tonyke1993:ap3p
Enable p3p and ap3p in solvePnPRansac (#8585)

* add paper info

* allow p3p and ap3p being RANSAC kernel

* keep previous code

* apply catrees comment

* fix getMat

* add comment

* add solvep3p test

* test return value

* fix warnings
2017-06-28 15:27:30 +03:00
Vladislav Sovrasov
d121d1c528 calib3d: add CALIB_FIX_TANGENT_DIST flag 2017-06-13 19:40:49 +03:00
catree
542cdb2c39 Improve solvePnP doc, add assert >= 4 in solvePnP, escape underscore character for Scalar_ documentation.
Add reference to SOLVEPNP_ITERATIVE in the doc.
2017-05-29 14:59:14 +02:00
Vladislav Sovrasov
bf8415283a calib3d: replace defines with enum values 2017-05-24 15:50:41 +03:00
Vadim Pisarevsky
dea5eaca30 Merge pull request #8660 from 4ekmah:making_sgbm_parallel 2017-05-03 13:47:36 +00:00
jveitchmichaelis
369bfbfd23 Add default parameters for SGBM::create
Added default parameters for minDisparity, numDisparities and blockSize. This fixes a bug where SGBM::load would not compile.
2017-04-30 16:32:30 +01:00
Pyotr Chekmaryov
7ffa49e02c Vertical passes added and we have working parralel version. 2017-04-22 00:00:08 +00:00
Pyotr Chekmaryov
20036b82d3 There added parallel realization of vertical passes for MODE_HH4. 2017-04-15 21:51:15 +00:00
Tong Ke
0a63ab36bb Merge pull request #8301 from tonyke1993:p3p_alg
New p3p algorithm (accepted by CVPR 2017) (#8301)

* add p3p source code

* indent 4

* update publication info

* fix filename

* interface done

* plug in done, test needed

* debugging

* for test

* a working version

* clean p3p code

* test

* test

* fix warning, blank line

* apply patch from @catree

* add reference info

* namespace, indent 4

* static solveQuartic

* put small functions to anonymous namespace
2017-04-07 09:48:34 +03:00
Pyotr Chekmaryov
106413a3ea Simplest test added and code debuged. 2017-03-27 21:40:17 +00:00
q
2918c3d75a First occurence of 4-directional version of SGBM.
Even without any tests.
Next step is parallelising it.
2017-03-21 14:51:19 +00:00
Alexander Alekhin
aa5204958e Merge pull request #8279 from sovrasov:calib3d_new_recover_pose 2017-03-06 10:20:43 +00:00
Hans Gaiser
11b24eb49f Expose CirclesGridFinderParameters in findCirclesGrid. 2017-03-02 10:53:45 +01:00
Vladislav Sovrasov
710506e9e2 calib3d: add a new overload for recoverPose 2017-02-27 13:26:04 +03:00
Duncan Barber
1c3b9d7591 Tiny documentation fix in stereoCalibrate
Modified the (R2,T2) computation documentation in the stereoCalibrate function documentation to display on two lines for clarity
2017-01-04 21:24:25 +00:00
catree
a93c70f533 Add note about solvePnP methods that cannot be used.
Add note: SOLVEPNP_EPNP will be used instead of SOLVEPNP_DLS and instead of SOLVEPNP_UPNP.
2016-12-09 13:15:52 +01:00
Pavel Rojtberg
e1503cc29e calibrateCamera: specifiy what kind of re-projection error is returned 2016-11-24 14:02:01 +01:00
Jiri Horner
c17afe0fab Merge pull request #6933 from hrnr:gsoc_all
[GSOC] New camera model for stitching pipeline

* implement estimateAffine2D

estimates affine transformation using robust RANSAC method.

* uses RANSAC framework in calib3d
* includes accuracy test
* uses SVD decomposition for solving 3 point equation

* implement estimateAffinePartial2D

estimates limited affine transformation

* includes accuracy test

* stitching: add affine matcher

initial version of matcher that estimates affine transformation

* stitching: added affine transform estimator

initial version of estimator that simply chain transformations in homogeneous coordinates

* calib3d: rename estimateAffine3D test

test Calib3d_EstimateAffineTransform rename to Calib3d_EstimateAffine3D. This is more descriptive and prevents confusion with estimateAffine2D tests.

* added perf test for estimateAffine functions

tests both estimateAffine2D and estimateAffinePartial2D

* calib3d: compare error in square in estimateAffine2D

* incorporates fix from #6768

* rerun affine estimation on inliers

* stitching: new API for parallel feature finding

due to ABI breakage new functionality is added to `FeaturesFinder2`, `SurfFeaturesFinder2` and `OrbFeaturesFinder2`

* stitching: add tests for parallel feature find API

* perf test (about linear speed up)
* accuracy test compares results with serial version

* stitching: use dynamic_cast to overcome ABI issues

adding parallel API to FeaturesFinder breaks ABI. This commit uses dynamic_cast and hardcodes thread-safe finders to avoid breaking ABI.

This should be replaced by proper method similar to FeaturesMatcher on next ABI break.

* use estimateAffinePartial2D in AffineBestOf2NearestMatcher

* add constructor to AffineBestOf2NearestMatcher

* allows to choose between full affine transform and partial affine transform. Other params are the as for BestOf2NearestMatcher
* added protected field

* samples: stitching_detailed support affine estimator and matcher

* added new flags to choose matcher and estimator

* stitching: rework affine matcher

represent transformation in homogeneous coordinates

affine matcher: remove duplicite code
rework flow to get rid of duplicite code

affine matcher: do not center points to (0, 0)
it is not needed for affine model. it should not affect estimation in any way.

affine matcher: remove unneeded cv namespacing

* stitching: add stub bundle adjuster

* adds stub bundle adjuster that does nothing
* can be used in place of standard bundle adjusters to omit bundle adjusting step

* samples: stitching detailed, support no budle adjust

* uses new NoBundleAdjuster

* added affine warper

* uses R to get whole affine transformation and propagates rotation and translation to plane warper

* add affine warper factory class

* affine warper: compensate transformation

* samples: stitching_detailed add support for affine warper

* add Stitcher::create method

this method follows similar constructor methods and returns smart pointer. This allows constructing Stitcher according to OpenCV guidelines.

* supports multiple stitcher configurations (PANORAMA and SCANS) for convenient setup
* returns cv::Ptr

* stitcher: dynamicaly determine correct estimator

we need to use affine estimator for affine matcher

* preserves ABI (but add hints for ABI 4)
* uses dynamic_cast hack to inject correct estimator

* sample stitching: add support for multiple modes

shows how to use different configurations of stitcher easily (panorama stitching and scans affine model)

* stitcher: find features in parallel

use new FeatureFinder API to find features in parallel. Parallelized using TBB.

* stitching: disable parallel feature finding for OCL

it does not bring much speedup to run features finder in parallel when OpenCL is enabled, because finder needs to wait for OCL device.

Also, currently ORB is not thread-safe when OCL is enabled.

* stitching: move matcher tests

move matchers tests perf_stich.cpp -> perf_matchers.cpp

* stitching: add affine stiching integration test

test basic affine stitching (SCANS mode of stitcher) with images that have only translation between them

* enable surf for stitching tests

stitching.b12 test was failing with surf

investigated the issue, surf is producing good result. Transformation is only slightly different from ORB, so that resulting pano does not exactly match ORB's result. That caused sanity check to fail.

* added size checks similar to other tests
* sanity check will be applied only for ORB

* stitching: fix wrong estimator choice

if case was exactly wrong, estimators were chosen wrong

added logging for estimated transformation

* enable surf for matchers stitching tests

* enable SURF
* rework sanity checking. Check estimated transform instead of matches. Est. transform should be more stable and comparable between SURF and ORB.
* remove regression checking for VectorFeatures tests. It has a lot if data andtest is the same as previous except it test different vector size for performance, so sanity checking does not add any value here. Added basic sanity asserts instead.

* stitching tests: allow relative error for transform

* allows .01 relative error for estimated homography sanity check in stitching matchers tests
* fix VS warning

stitching tests: increase relative error

increase relative error to make it pass on all platforms (results are still good).

stitching test: allow bigger relative error

transformation can differ in small values (with small absolute difference, but large relative difference). transformation output still looks usable for all platforms. This difference affects only mac and windows, linux passes fine with small difference.

* stitching: add tests for affine matcher

uses s1, s2 images. added also new sanity data.

* stitching tests: use different data for matchers tests

this data should yeild more stable transformation (it has much more matches, especially for surf). Sanity data regenerated.

* stitching test: rework tests for matchers

* separated rotation and translations as they are different by scale.
* use appropriate absolute error for them separately. (relative error does not work for values near zero.)

* stitching: fix affine warper compensation

calculation of rotation and translation extracted for plane warper was wrong

* stitching test: enable surf for opencl integration tests

* enable SURF with correct guard (HAVE_OPENCV_XFEATURES2D)
* add OPENCL guard and correct namespace as usual for opencl tests

* stitching: add ocl accuracy test for affine warper

test consistent results with ocl on and off

* stitching: add affine warper ocl perf test

add affine warper to existing warper perf tests. Added new sanity data.

* stitching: do not overwrite inliers in affine matcher

* estimation is run second time on inliers only, inliers produces in second run will not be therefore correct for all matches

* calib3d: add Levenberg–Marquardt refining to estimateAffine2D* functions

this adds affine Levenberg–Marquardt refining to estimateAffine2D functions similar to what is done in findHomography.

implements Levenberg–Marquardt refinig for both full affine and partial affine transformations.

* stitching: remove reestimation step in affine matcher

reestimation step is not needed. estimateAffine2D* functions are running their own reestimation on inliers using the Levenberg-Marquardt algorithm, which is better than simply rerunning RANSAC on inliers.

* implement partial affine bundle adjuster

bundle adjuster that expect affine transform with 4DOF. Refines parameters for all cameras together.

stitching: fix bug in BundleAdjusterAffinePartial

* use the invers properly
* use static buffer for invers to speed it up

* samples: add affine bundle adjuster option to stitching_detailed

* add support for using affine bundle adjuster with 4DOF
* improve logging of initial intristics

* sttiching: add affine bundle adjuster test

* fix build warnings

* stitching: increase limit on sanity check

prevents spurious test failures on mac. values are still pretty fine.

* stitching: set affine bundle adjuster for SCANS mode

* fix bug with AffineBestOf2NearestMatcher (we want to select affine partial mode)
* select right bundle adjuster

* stitching: increase error bound for matcher tests

* this prevents failure on mac. tranformation is still ok.

* stitching: implement affine bundle adjuster

* implements affine bundle adjuster that is using full affine transform
* existing test case modified to test both affinePartial an full affine bundle adjuster

* add stitching tutorial

* show basic usage of stitching api (Stitcher class)

* stitching: add more integration test for affine stitching

* added new datasets to existing testcase
* removed unused include

* calib3d: move `haveCollinearPoints` to common header

* added comment to make that this also checks too close points

* calib3d: redone checkSubset for estimateAffine* callback

* use common function to check collinearity
* this also ensures that point will not be too close to each other

* calib3d: change estimateAffine* functions API

* more similar to `findHomography`, `findFundamentalMat`, `findEssentialMat` and similar
* follows standard recommended semantic INPUTS, OUTPUTS, FLAGS
* allows to disable refining
* supported LMEDS robust method (tests yet to come) along with RANSAC
* extended docs with some tips

* calib3d: rewrite estimateAffine2D test

* rewrite in googletest style
* parametrize to test both robust methods (RANSAC and LMEDS)
* get rid of boilerplate

* calib3d: rework estimateAffinePartial2D test

* rework in googletest style
* add testing for LMEDS

* calib3d: rework estimateAffine*2D perf test

* test for LMEDS speed
* test with/without Levenberg-Marquart
* remove sanity checking (this is covered by accuracy tests)

* calib3d: improve estimateAffine*2D tests

* test transformations in loop
* improves test by testing more potential transformations

* calib3d: rewrite kernels for estimateAffine*2D functions

* use analytical solution instead of SVD
* this version is faster especially for smaller amount of points

* calib3d: tune up perf of estimateAffine*2D functions

* avoid copying inliers
* avoid converting input points if not necessary
* check only `from` point for collinearity, as `to` does not affect stability of transform

* tutorials: add commands examples to stitching tutorials

* add some examples how to run stitcher sample code
* mention stitching_detailed.cpp

* calib3d: change computeError for estimateAffine*2D

* do error computing in floats instead of doubles

this have required precision + we were storing the result in float anyway. This make code faster and allows auto-vectorization by smart compilers.

* documentation: mention estimateAffine*2D function

* refer to new functions on appropriate places
* prefer estimateAffine*2D over estimateRigidTransform

* stitching: add camera models documentations

* mention camera models in module documentation to give user a better overview and reduce confusion
2016-10-22 19:10:42 +03:00