namespace cv
{
+/**
+ * Compute the number of iterations given the confidence, outlier ratio, number
+ * of model points and the maximum iteration number.
+ *
+ * @param p confidence value
+ * @param ep outlier ratio
+ * @param modelPoints number of model points required for estimation
+ * @param maxIters maximum number of iterations
+ * @return
+ * \f[
+ * \frac{\ln(1-p)}{\ln\left(1-(1-ep)^\mathrm{modelPoints}\right)}
+ * \f]
+ *
+ * If the computed number of iterations is less than maxIters, then 1 is returned.
+ */
int RANSACUpdateNumIters( double p, double ep, int modelPoints, int maxIters );
class CV_EXPORTS LMSolver : public Algorithm
*/
CV_EXPORTS_W void perspectiveTransform(InputArray src, OutputArray dst, InputArray m );
-/** @brief Copies the lower or the upper half of a square matrix to another half.
+/** @brief Copies the lower or the upper half of a square matrix to its another half.
-The function cv::completeSymm copies the lower half of a square matrix to
+The function cv::completeSymm copies the lower or the upper half of a square matrix to
its another half. The matrix diagonal remains unchanged:
-* \f$\texttt{mtx}_{ij}=\texttt{mtx}_{ji}\f$ for \f$i > j\f$ if
+ - \f$\texttt{m}_{ij}=\texttt{m}_{ji}\f$ for \f$i > j\f$ if
lowerToUpper=false
-* \f$\texttt{mtx}_{ij}=\texttt{mtx}_{ji}\f$ for \f$i < j\f$ if
+ - \f$\texttt{m}_{ij}=\texttt{m}_{ji}\f$ for \f$i < j\f$ if
lowerToUpper=true
-@param mtx input-output floating-point square matrix.
+
+@param m input-output floating-point square matrix.
@param lowerToUpper operation flag; if true, the lower half is copied to
the upper half. Otherwise, the upper half is copied to the lower half.
@sa flip, transpose
*/
-CV_EXPORTS_W void completeSymm(InputOutputArray mtx, bool lowerToUpper = false);
+CV_EXPORTS_W void completeSymm(InputOutputArray m, bool lowerToUpper = false);
/** @brief Initializes a scaled identity matrix.