\cvdefPy{ConvertPointsHomogeneous( src, dst ) -> None}
-\cvdefCpp{void convertPointsHomogeneous( const Mat\& src, vector<Point3f>\& dst );
-
+\cvdefCpp{void convertPointsHomogeneous( const Mat\& src, vector<Point3f>\& dst );\newline
void convertPointsHomogeneous( const Mat\& src, vector<Point2f>\& dst );}
\begin{description}
\cvarg{src}{The input point array, \texttt{2xN, Nx2, 3xN, Nx3, 4xN or Nx4 (where \texttt{N} is the number of points)}. Multi-channel \texttt{1xN} or \texttt{Nx1} array is also acceptable}
\cvarg{dst}{The output point array, must contain the same number of points as the input; The dimensionality must be the same, 1 less or 1 more than the input, and also within 2 to 4}
\else
-\cvarg{src}{The input array or vector of 2D or 3D points}
-\cvarg{dst}{The output vector of 3D or 2D points, respectively}
+\cvarg{src}{The input array or vector of 2D, 3D or 4D points}
+\cvarg{dst}{The output vector of 2D or 2D points}
\fi
\end{description}
\cvarg{CV\_LMEDS}{Least-Median robust method}
\end{description}}
\cvarg{ransacReprojThreshold}{The maximum allowed reprojection error to treat a point pair as an inlier (used in the RANSAC method only). That is, if
-\[\|\texttt{dstPoints}_i - \texttt{convertPointHomogeneous}(\texttt{H} \texttt{srcPoints}_i)\| > \texttt{ransacReprojThreshold}\]
+\[\|\texttt{dstPoints}_i - \texttt{convertPointsHomogeneous}(\texttt{H} \texttt{srcPoints}_i)\| > \texttt{ransacReprojThreshold}\]
then the point $i$ is considered an outlier. If \texttt{srcPoints} and \texttt{dstPoints} are measured in pixels, it usually makes sense to set this parameter somewhere in the range 1 to 10.}
\cvarg{status}{The optional output mask set by a robust method (\texttt{CV\_RANSAC} or \texttt{CV\_LMEDS}). \emph{Note that the input mask values are ignored.}}
\end{description}
void cv::convertPointsHomogeneous( const Mat& src, vector<Point3f>& dst )
{
- CV_Assert(src.checkVector(2) >= 0 &&
- (src.depth() == CV_32F || src.depth() == CV_32S));
+ int srccn = src.checkVector(2) >= 0 ? 2 : src.checkVector(4) >= 0 ? 4 : -1;
+ CV_Assert( srccn > 0 && (src.depth() == CV_32F || src.depth() == CV_32S));
- dst.resize(src.cols*src.rows*src.channels()/2);
+ dst.resize(src.cols*src.rows*src.channels()/srccn);
CvMat _src = src, _dst = Mat(dst);
cvConvertPointsHomogeneous(&_src, &_dst);
}