Merge pull request #3116 from shubhra:master
This commit is contained in:
commit
887a950243
@ -843,11 +843,11 @@ findHomography
|
||||
------------------
|
||||
Finds a perspective transformation between two planes.
|
||||
|
||||
.. ocv:function:: Mat findHomography( InputArray srcPoints, InputArray dstPoints, int method=0, double ransacReprojThreshold=3, OutputArray mask=noArray() )
|
||||
.. ocv:function:: Mat findHomography( InputArray srcPoints, InputArray dstPoints, int method=0, double ransacReprojThreshold=3, OutputArray mask=noArray(), const int maxIters = 2000, const double confidence = 0.995)
|
||||
|
||||
.. ocv:pyfunction:: cv2.findHomography(srcPoints, dstPoints[, method[, ransacReprojThreshold[, mask]]]) -> retval, mask
|
||||
|
||||
.. ocv:cfunction:: int cvFindHomography( const CvMat* src_points, const CvMat* dst_points, CvMat* homography, int method=0, double ransacReprojThreshold=3, CvMat* mask=0 )
|
||||
.. ocv:cfunction:: int cvFindHomography( const CvMat* src_points, const CvMat* dst_points, CvMat* homography, int method=0, double ransacReprojThreshold=3, CvMat* mask=0, int maxIters = 2000, double confidence = 0.995)
|
||||
|
||||
:param srcPoints: Coordinates of the points in the original plane, a matrix of the type ``CV_32FC2`` or ``vector<Point2f>`` .
|
||||
|
||||
@ -871,6 +871,10 @@ Finds a perspective transformation between two planes.
|
||||
|
||||
:param mask: Optional output mask set by a robust method ( ``RANSAC`` or ``LMEDS`` ). Note that the input mask values are ignored.
|
||||
|
||||
:param maxIters: The maximum number of RANSAC iterations, 2000 is the maximum it can be.
|
||||
|
||||
:param confidence: Confidence level, between 0 and 1.
|
||||
|
||||
The functions find and return the perspective transformation :math:`H` between the source and the destination planes:
|
||||
|
||||
.. math::
|
||||
|
@ -109,7 +109,8 @@ CV_EXPORTS_W void Rodrigues( InputArray src, OutputArray dst, OutputArray jacobi
|
||||
//! computes the best-fit perspective transformation mapping srcPoints to dstPoints.
|
||||
CV_EXPORTS_W Mat findHomography( InputArray srcPoints, InputArray dstPoints,
|
||||
int method = 0, double ransacReprojThreshold = 3,
|
||||
OutputArray mask=noArray());
|
||||
OutputArray mask=noArray(), const int maxIters = 2000,
|
||||
const double confidence = 0.995);
|
||||
|
||||
//! variant of findHomography for backward compatibility
|
||||
CV_EXPORTS Mat findHomography( InputArray srcPoints, InputArray dstPoints,
|
||||
|
@ -141,7 +141,9 @@ CVAPI(int) cvFindHomography( const CvMat* src_points,
|
||||
CvMat* homography,
|
||||
int method CV_DEFAULT(0),
|
||||
double ransacReprojThreshold CV_DEFAULT(3),
|
||||
CvMat* mask CV_DEFAULT(0));
|
||||
CvMat* mask CV_DEFAULT(0),
|
||||
int maxIters CV_DEFAULT(2000),
|
||||
double confidence CV_DEFAULT(0.995));
|
||||
|
||||
/* Computes RQ decomposition for 3x3 matrices */
|
||||
CVAPI(void) cvRQDecomp3x3( const CvMat *matrixM, CvMat *matrixR, CvMat *matrixQ,
|
||||
|
@ -299,7 +299,8 @@ CV_IMPL int cvRANSACUpdateNumIters( double p, double ep, int modelPoints, int ma
|
||||
|
||||
|
||||
CV_IMPL int cvFindHomography( const CvMat* _src, const CvMat* _dst, CvMat* __H, int method,
|
||||
double ransacReprojThreshold, CvMat* _mask )
|
||||
double ransacReprojThreshold, CvMat* _mask, int maxIters,
|
||||
double confidence)
|
||||
{
|
||||
cv::Mat src = cv::cvarrToMat(_src), dst = cv::cvarrToMat(_dst);
|
||||
|
||||
@ -308,9 +309,20 @@ CV_IMPL int cvFindHomography( const CvMat* _src, const CvMat* _dst, CvMat* __H,
|
||||
if( dst.channels() == 1 && (dst.rows == 2 || dst.rows == 3) && dst.cols > 3 )
|
||||
cv::transpose(dst, dst);
|
||||
|
||||
if ( maxIters < 0 )
|
||||
maxIters = 0;
|
||||
if ( maxIters > 2000 )
|
||||
maxIters = 2000;
|
||||
|
||||
if ( confidence < 0 )
|
||||
confidence = 0;
|
||||
if ( confidence > 1 )
|
||||
confidence = 1;
|
||||
|
||||
const cv::Mat H = cv::cvarrToMat(__H), mask = cv::cvarrToMat(_mask);
|
||||
cv::Mat H0 = cv::findHomography(src, dst, method, ransacReprojThreshold,
|
||||
_mask ? cv::_OutputArray(mask) : cv::_OutputArray());
|
||||
_mask ? cv::_OutputArray(mask) : cv::_OutputArray(), maxIters,
|
||||
confidence);
|
||||
|
||||
if( H0.empty() )
|
||||
{
|
||||
|
@ -274,10 +274,9 @@ public:
|
||||
|
||||
|
||||
cv::Mat cv::findHomography( InputArray _points1, InputArray _points2,
|
||||
int method, double ransacReprojThreshold, OutputArray _mask )
|
||||
int method, double ransacReprojThreshold, OutputArray _mask,
|
||||
const int maxIters, const double confidence)
|
||||
{
|
||||
const double confidence = 0.995;
|
||||
const int maxIters = 2000;
|
||||
const double defaultRANSACReprojThreshold = 3;
|
||||
bool result = false;
|
||||
|
||||
|
Loading…
x
Reference in New Issue
Block a user