* Fix for Homogenous precision #14242:
- moved scale computation to an inline function
- use std::numeric_limits<float>::epsilon() instead of != 0.0
* Fix for Homogenous precision #14242:
- fixed warnings for type conversion
* Fix for Homogenous precision #14242:
- use float epsilon() for truncation of doubles
objectPoints and imagePoints are not checked whether they're empty and
cause checkVector() to fail, thus result in a wrong error message.
Fixes: https://github.com/opencv/opencv/issues/6002
During the cluster-based detection of circle grids, the detected circle
pattern has to be mapped to 3D-points. When doing this the width (i.e.
more circles) and height (i.e. less circles) of the pattern need to
be identified in image coordinates.
Until now this was done by assuming that the shorter side in image
coordinates (length in pixels) corresponds to the height in 3D.
This assumption does not hold if we look at the pattern from
a perspective where the projection of the width is shorter
than the projection of the height. This in turn lead to misdetections in
although the circle pattern was clearly visible.
Instead count how many circles have been detected along two edges of the
projected quadrangle and use the one with more circles as width and the
one with less as height.
* 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
* make tmpRow proper size before copyTo to avoid reallocated tmpCol
* do the transposition without creating temporary array; replace TAB with spaces.
* revert the previous commit
* Newton's method can be more efficient
when we get the result of function distortPoint with a point (0, 0) and then undistortPoint with the result, we get the point not (0, 0). and then we discovered that the old method is not convergence sometimes. finally we have gotten the right values by Newton's method.
* modify by advice Newton's method...#10574
* calib3d(fisheye): fix codestyle, update theta before exit EPS check
If there are no OpenCL/UMat methods calls from application.
OpenCL subsystem is initialized:
- haveOpenCL() is called from application
- useOpenCL() is called from application
- access to OpenCL allocator: UMat is created (empty UMat is ignored) or UMat <-> Mat conversions are called
Don't call OpenCL functions if OPENCV_OPENCL_RUNTIME=disabled
(independent from OpenCL linkage type)
Remove unnecessary Non-ASCII characters from source code (#9075)
* Remove unnecessary Non-ASCII characters from source code
Remove unnecessary Non-ASCII characters and replace them with ASCII
characters
* Remove dashes in the @param statement
Remove dashes and place single space in the @param statement to keep
coding style
* misc: more fixes for non-ASCII symbols
* misc: fix non-ASCII symbol in CMake file
The old error message was not giving any hint which input array (image)
led to an ill conditioned matrix. This made it near impossible to
identify poor images in a larger set.
A better approach would be to implement a checker function which gives
each image a rating before the real calibration is performed. This could
also include some image properties like sharpness, etc.
