OpenCV  4.1.0-dev
Open Source Computer Vision
Functions
Autocalibration

Functions

bool cv::detail::calibrateRotatingCamera (const std::vector< Mat > &Hs, Mat &K)
 
void cv::detail::estimateFocal (const std::vector< ImageFeatures > &features, const std::vector< MatchesInfo > &pairwise_matches, std::vector< double > &focals)
 Estimates focal lengths for each given camera. More...
 
void cv::detail::focalsFromHomography (const Mat &H, double &f0, double &f1, bool &f0_ok, bool &f1_ok)
 Tries to estimate focal lengths from the given homography under the assumption that the camera undergoes rotations around its centre only. More...
 

Detailed Description

Function Documentation

§ calibrateRotatingCamera()

bool cv::detail::calibrateRotatingCamera ( const std::vector< Mat > &  Hs,
Mat K 
)
Python:
retval, K=cv.detail.calibrateRotatingCamera(Hs[, K])

§ estimateFocal()

void cv::detail::estimateFocal ( const std::vector< ImageFeatures > &  features,
const std::vector< MatchesInfo > &  pairwise_matches,
std::vector< double > &  focals 
)

#include <opencv2/stitching/detail/autocalib.hpp>

Estimates focal lengths for each given camera.

Parameters
featuresFeatures of images.
pairwise_matchesMatches between all image pairs.
focalsEstimated focal lengths for each camera.

§ focalsFromHomography()

void cv::detail::focalsFromHomography ( const Mat H,
double &  f0,
double &  f1,
bool &  f0_ok,
bool &  f1_ok 
)
Python:
None=cv.detail.focalsFromHomography(H, f0, f1, f0_ok, f1_ok)

#include <opencv2/stitching/detail/autocalib.hpp>

Tries to estimate focal lengths from the given homography under the assumption that the camera undergoes rotations around its centre only.

Parameters
HHomography.
f0Estimated focal length along X axis.
f1Estimated focal length along Y axis.
f0_okTrue, if f0 was estimated successfully, false otherwise.
f1_okTrue, if f1 was estimated successfully, false otherwise.

See "Construction of Panoramic Image Mosaics with Global and Local Alignment" by Heung-Yeung Shum and Richard Szeliski.