Rotation Estimation#

Detailed Description#

Classes#

Name

Description

class cv::detail::AffineBasedEstimator

Affine transformation based estimator. View details

class cv::detail::BundleAdjusterAffine

Bundle adjuster that expects affine transformation represented in homogeneous coordinates in R for each camera param. Implements camera parameters refinement algorithm which minimizes sum of the reprojection error squares. View details

class cv::detail::BundleAdjusterAffinePartial

Bundle adjuster that expects affine transformation with 4 DOF represented in homogeneous coordinates in R for each camera param. Implements camera parameters refinement algorithm which minimizes sum of the reprojection error squares. View details

class cv::detail::BundleAdjusterBase

Base class for all camera parameters refinement methods. View details

class cv::detail::BundleAdjusterRay

Implementation of the camera parameters refinement algorithm which minimizes sum of the distances between the rays passing through the camera center and a feature. : View details

class cv::detail::BundleAdjusterReproj

Implementation of the camera parameters refinement algorithm which minimizes sum of the reprojection error squares. View details

class cv::detail::Estimator

Rotation estimator base class. View details

class cv::detail::HomographyBasedEstimator

Homography based rotation estimator. View details

class cv::detail::NoBundleAdjuster

Stub bundle adjuster that does nothing. View details

Enumerations#

enum cv::detail::WaveCorrectKind {
    cv::detail::WAVE_CORRECT_HORIZ,
    cv::detail::WAVE_CORRECT_VERT,
    cv::detail::WAVE_CORRECT_AUTO
}

View details

Enumeration Type Documentation#

WaveCorrectKind#

enum cv::detail::WaveCorrectKind

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

Enumerator:

WAVE_CORRECT_HORIZ
Python: cv.detail.WAVE_CORRECT_HORIZ

WAVE_CORRECT_VERT
Python: cv.detail.WAVE_CORRECT_VERT

WAVE_CORRECT_AUTO
Python: cv.detail.WAVE_CORRECT_AUTO

Function Documentation#

autoDetectWaveCorrectKind()#

WaveCorrectKind cv::detail::autoDetectWaveCorrectKind(const std::vector< Mat > & rmats)

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

Tries to detect the wave correction kind depending on whether a panorama spans horizontally or vertically.

Parameters

  • rmats — Camera rotation matrices.

Returns

The correction kind to use for this panorama

findMaxSpanningTree()#

void cv::detail::findMaxSpanningTree(
int num_images,
const std::vector< MatchesInfo > & pairwise_matches,
Graph & span_tree,
std::vector< int > & centers )

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

leaveBiggestComponent()#

std::vector< int > cv::detail::leaveBiggestComponent(
std::vector< ImageFeatures > & features,
std::vector< MatchesInfo > & pairwise_matches,
float conf_threshold )

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

Python:

cv.detail.leaveBiggestComponent(features, pairwise_matches, conf_threshold) -> retval

matchesGraphAsString()#

String cv::detail::matchesGraphAsString(
std::vector< String > & paths,
std::vector< MatchesInfo > & pairwise_matches,
float conf_threshold )

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

Python:

cv.detail.matchesGraphAsString(paths, pairwise_matches, conf_threshold) -> retval

waveCorrect()#

void cv::detail::waveCorrect(
std::vector< Mat > & rmats,
WaveCorrectKind kind )

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

Python:

cv.detail.waveCorrect(rmats, kind) -> rmats

Tries to make panorama more horizontal (or vertical).

Parameters