| OpenCV 3.4.7 Open Source Computer Vision

Functions
Numeric
Structure From Motion

## Functions
void | cv::sfm::meanAndVarianceAlongRows (InputArray A, OutputArray mean, OutputArray variance)
| Computes the mean and variance of a given matrix along its rows. More...
Mat | cv::sfm::skew (InputArray x)
| Returns the 3x3 skew symmetric matrix of a vector. More...

## Detailed Description

## Function Documentation

## § meanAndVarianceAlongRows()

void cv::sfm::meanAndVarianceAlongRows | ( | InputArray | A,
|  | OutputArray | mean,
|  | OutputArray | variance
| ) |  |

`#include <opencv2/sfm/numeric.hpp>`

Computes the mean and variance of a given matrix along its rows.

Parameters

  A | Input NxN matrix.
  mean | Output Nx1 matrix with computed mean.
  variance | Output Nx1 matrix with computed variance.

It computes in the same way as woud do reduce but with Variance function.

## § skew()

Mat cv::sfm::skew | ( | InputArray | x | ) |

`#include <opencv2/sfm/numeric.hpp>`

Returns the 3x3 skew symmetric matrix of a vector.

Parameters

  x | Input 3x1 vector.

Reference: [84], p581, equation (A4.5).