OpenCV  4.10.0-dev
Open Source Computer Vision
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Autocalibration

Detailed Description

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.
 
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.
 

Function Documentation

◆ calibrateRotatingCamera()

bool cv::detail::calibrateRotatingCamera ( const std::vector< Mat > & Hs,
Mat & K )
Python:
cv.detail.calibrateRotatingCamera(Hs[, K]) -> retval, 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:
cv.detail.focalsFromHomography(H, f0, f1, f0_ok, f1_ok) -> None

#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.