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Solvepnpransac() returns boolean

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This commit is contained in:
edgarriba
2014-07-09 10:37:37 +02:00
parent ce07024a44
commit ba5a8ee299
2 changed files with 29 additions and 44 deletions
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2
modules/calib3d/include/opencv2/calib3d.hpp
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@@ -154,7 +154,7 @@ CV_EXPORTS_W bool solvePnP( InputArray objectPoints, InputArray imagePoints,
bool useExtrinsicGuess = false, int flags = ITERATIVE );
//! computes the camera pose from a few 3D points and the corresponding projections. The outliers are possible.
CV_EXPORTS_W void solvePnPRansac( InputArray objectPoints, InputArray imagePoints,
CV_EXPORTS_W bool solvePnPRansac( InputArray objectPoints, InputArray imagePoints,
InputArray cameraMatrix, InputArray distCoeffs,
OutputArray rvec, OutputArray tvec,
bool useExtrinsicGuess = false, int iterationsCount = 100,

67
modules/calib3d/src/solvepnp.cpp
View File

@@ -98,7 +98,7 @@ bool cv::solvePnP( InputArray _opoints, InputArray _ipoints,
return false;
}
namespace cv
/*namespace cv
{
namespace pnpransac
{
@@ -271,7 +271,7 @@ namespace cv
RNG PnPSolver::generator;
}
}
}*/
class PnPRansacCallback : public PointSetRegistrator::Callback
{
@@ -283,7 +283,7 @@ public:
rvec(_rvec), tvec(_tvec) {}
/* Pre: True */
/* Post: compute _model with given points an eturn number of found models */
/* Post: compute _model with given points an return number of found models */
int runKernel( InputArray _m1, InputArray _m2, OutputArray _model ) const
{
Mat opoints = _m1.getMat(), ipoints = _m2.getMat();
@@ -291,15 +291,9 @@ public:
bool correspondence = cv::solvePnP( _m1, _m2, cameraMatrix, distCoeffs,
rvec, tvec, useExtrinsicGuess, flags );
if(correspondence)
{
Mat _local_model;
_local_model.push_back(rvec);
_local_model.push_back(tvec);
cv::hconcat(rvec, tvec, _local_model);
_local_model.copyTo(_model);
}
return correspondence;
}
@@ -312,8 +306,8 @@ public:
Mat opoints = _m1.getMat(), ipoints = _m2.getMat(), model = _model.getMat();
int i, count = opoints.cols;
Mat _rvec = model.rowRange(0,3);
Mat _tvec = model.rowRange(3, 6);
Mat _rvec = model.col(0);
Mat _tvec = model.col(1);
Mat projpoints(count, 2, CV_32FC1);
cv::projectPoints(opoints, _rvec, _tvec, cameraMatrix, distCoeffs, projpoints);
@@ -338,7 +332,7 @@ public:
Mat tvec;
};
void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
bool cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
InputArray _cameraMatrix, InputArray _distCoeffs,
OutputArray _rvec, OutputArray _tvec, bool useExtrinsicGuess,
int iterationsCount, float reprojectionError, float confidence,
@@ -355,34 +349,16 @@ void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
CV_Assert(ipoints.depth() == CV_32F || ipoints.depth() == CV_64F);
CV_Assert((ipoints.rows == 1 && ipoints.channels() == 2) || ipoints.cols*ipoints.channels() == 2);
Mat objectPoints = opoints.reshape(3, 1), imagePoints = ipoints.reshape(2, 1);
Ptr<PointSetRegistrator::Callback> cb; // pointer to callback
_rvec.create(3, 1, CV_64FC1);
_tvec.create(3, 1, CV_64FC1);
Mat rvec, tvec;
Mat rvec = useExtrinsicGuess ? _rvec.getMat() : Mat(3, 1, CV_64FC1);
Mat tvec = useExtrinsicGuess ? _tvec.getMat() : Mat(3, 1, CV_64FC1);
if (useExtrinsicGuess) // use given rvec & tvec
{
rvec = _rvec.getMat();
tvec = _tvec.getMat();
Ptr<PointSetRegistrator::Callback> cb; // pointer to callback
cb = makePtr<PnPRansacCallback>( cameraMatrix, distCoeffs, flags, useExtrinsicGuess, rvec, tvec);
cb = makePtr<PnPRansacCallback>( cameraMatrix, distCoeffs, flags,
useExtrinsicGuess, rvec, tvec);
}
else
{
rvec = Mat(3, 1, CV_64FC1);
tvec = Mat(3, 1, CV_64FC1);
cb = makePtr<PnPRansacCallback>( cameraMatrix, distCoeffs, flags,
useExtrinsicGuess, rvec, tvec);
}
int model_points = 3; // minimum of number of model points
int model_points = 6; // minimum of number of model points
double param1 = reprojectionError ; // reprojection error
double param2 = confidence; // confidence
int param3 = iterationsCount; // number maximum iterations
@@ -391,11 +367,20 @@ void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
cv::Mat _mask_local_inliers(1, opoints.rows, CV_8UC1);
// call Ransac
int result = createRANSACPointSetRegistrator(cb, model_points, param1, param2, param3)
->run(_opoints, _ipoints, _local_model, _mask_local_inliers);
int result = createRANSACPointSetRegistrator(cb, model_points, param1, param2, param3)->run(_opoints, _ipoints, _local_model, _mask_local_inliers);
_rvec.assign(_local_model.rowRange(0,3)); // output rotation vector
_tvec.assign(_local_model.rowRange(3,6)); // output translation vector
if( result <= 0 || _local_model.rows <= 0)
{
_rvec.assign(rvec); // output rotation vector
_tvec.assign(tvec); // output translation vector
return false;
}
else
{
_rvec.assign(_local_model.col(0)); // output rotation vector
_tvec.assign(_local_model.col(1)); // output translation vector
}
Mat _local_inliers;
int count = 0;
@@ -452,5 +437,5 @@ void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
if( _inliers.needed() )
_inliers.release();
}*/
return;
return true;
}