OpenCV
Open Source Computer Vision
|
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. More...
#include "motion_estimators.hpp"
Public Member Functions | |
BundleAdjusterAffine () | |
Public Member Functions inherited from cv::detail::BundleAdjusterBase | |
double | confThresh () const |
const Mat | refinementMask () const |
void | setConfThresh (double conf_thresh) |
void | setRefinementMask (const Mat &mask) |
void | setTermCriteria (const TermCriteria &term_criteria) |
TermCriteria | termCriteria () |
Public Member Functions inherited from cv::detail::Estimator | |
virtual | ~Estimator () |
bool | operator() (const std::vector< ImageFeatures > &features, const std::vector< MatchesInfo > &pairwise_matches, std::vector< CameraParams > &cameras) |
Estimates camera parameters. More... | |
Additional Inherited Members | |
Protected Member Functions inherited from cv::detail::BundleAdjusterBase | |
BundleAdjusterBase (int num_params_per_cam, int num_errs_per_measurement) | |
Construct a bundle adjuster base instance. More... | |
virtual bool | estimate (const std::vector< ImageFeatures > &features, const std::vector< MatchesInfo > &pairwise_matches, std::vector< CameraParams > &cameras) CV_OVERRIDE |
This method must implement camera parameters estimation logic in order to make the wrapper detail::Estimator::operator()_ work. More... | |
Protected Attributes inherited from cv::detail::BundleAdjusterBase | |
Mat | cam_params_ |
double | conf_thresh_ |
std::vector< std::pair< int, int > > | edges_ |
const ImageFeatures * | features_ |
int | num_errs_per_measurement_ |
int | num_images_ |
int | num_params_per_cam_ |
const MatchesInfo * | pairwise_matches_ |
Mat | refinement_mask_ |
TermCriteria | term_criteria_ |
int | total_num_matches_ |
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.
It estimates all transformation parameters. Refinement mask is ignored.
|
inline |