提交 6d9c6e9c 编写于 作者: V Vadim Pisarevsky

Merge pull request #6805 from sergarrido:sergarrido-fix-useextrinsicguess

......@@ -53,17 +53,36 @@ bool cv::solvePnP( InputArray _opoints, InputArray _ipoints,
Mat opoints = _opoints.getMat(), ipoints = _ipoints.getMat();
int npoints = std::max(opoints.checkVector(3, CV_32F), opoints.checkVector(3, CV_64F));
CV_Assert( npoints >= 0 && npoints == std::max(ipoints.checkVector(2, CV_32F), ipoints.checkVector(2, CV_64F)) );
_rvec.create(3, 1, CV_64F);
_tvec.create(3, 1, CV_64F);
Mat cameraMatrix = _cameraMatrix.getMat(), distCoeffs = _distCoeffs.getMat();
Mat rvec, tvec;
if( flags != CV_ITERATIVE )
useExtrinsicGuess = false;
if( useExtrinsicGuess )
{
int rtype = _rvec.type(), ttype = _tvec.type();
Size rsize = _rvec.size(), tsize = _tvec.size();
CV_Assert( (rtype == CV_32F || rtype == CV_64F) &&
(ttype == CV_32F || ttype == CV_64F) );
CV_Assert( (rsize == Size(1, 3) || rsize == Size(3, 1)) &&
(tsize == Size(1, 3) || tsize == Size(3, 1)) );
}
else
{
_rvec.create(3, 1, CV_64F);
_tvec.create(3, 1, CV_64F);
}
rvec = _rvec.getMat();
tvec = _tvec.getMat();
if (flags == CV_EPNP)
{
cv::Mat undistortedPoints;
cv::undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
epnp PnP(cameraMatrix, opoints, undistortedPoints);
cv::Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
cv::Mat R;
PnP.compute_pose(R, tvec);
cv::Rodrigues(R, rvec);
return true;
......@@ -75,7 +94,7 @@ bool cv::solvePnP( InputArray _opoints, InputArray _ipoints,
cv::undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
p3p P3Psolver(cameraMatrix);
cv::Mat R, rvec = _rvec.getMat(), tvec = _tvec.getMat();
cv::Mat R;
bool result = P3Psolver.solve(R, tvec, opoints, undistortedPoints);
if (result)
cv::Rodrigues(R, rvec);
......@@ -85,7 +104,7 @@ bool cv::solvePnP( InputArray _opoints, InputArray _ipoints,
{
CvMat c_objectPoints = opoints, c_imagePoints = ipoints;
CvMat c_cameraMatrix = cameraMatrix, c_distCoeffs = distCoeffs;
CvMat c_rvec = _rvec.getMat(), c_tvec = _tvec.getMat();
CvMat c_rvec = rvec, c_tvec = tvec;
cvFindExtrinsicCameraParams2(&c_objectPoints, &c_imagePoints, &c_cameraMatrix,
c_distCoeffs.rows*c_distCoeffs.cols ? &c_distCoeffs : 0,
&c_rvec, &c_tvec, useExtrinsicGuess );
......@@ -316,10 +335,26 @@ 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);
_rvec.create(3, 1, CV_64FC1);
_tvec.create(3, 1, CV_64FC1);
Mat rvec = _rvec.getMat();
Mat tvec = _tvec.getMat();
Mat rvec, tvec;
if( flags != CV_ITERATIVE )
useExtrinsicGuess = false;
if( useExtrinsicGuess )
{
int rtype = _rvec.type(), ttype = _tvec.type();
Size rsize = _rvec.size(), tsize = _tvec.size();
CV_Assert( (rtype == CV_32F || rtype == CV_64F) &&
(ttype == CV_32F || ttype == CV_64F) );
CV_Assert( (rsize == Size(1, 3) || rsize == Size(3, 1)) &&
(tsize == Size(1, 3) || tsize == Size(3, 1)) );
}
else
{
_rvec.create(3, 1, CV_64F);
_tvec.create(3, 1, CV_64F);
}
rvec = _rvec.getMat();
tvec = _tvec.getMat();
Mat objectPoints = opoints.reshape(3, 1), imagePoints = ipoints.reshape(2, 1);
......@@ -360,7 +395,8 @@ void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
Mat colInlierObjectPoints = inlierObjectPoints(Rect(i, 0, 1, 1));
objectPoints.col(index).copyTo(colInlierObjectPoints);
}
solvePnP(inlierObjectPoints, inlierImagePoints, params.camera.intrinsics, params.camera.distortion, localRvec, localTvec, false, flags);
solvePnP(inlierObjectPoints, inlierImagePoints, params.camera.intrinsics, params.camera.distortion,
localRvec, localTvec, params.useExtrinsicGuess, flags);
}
localRvec.copyTo(rvec);
localTvec.copyTo(tvec);
......
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