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 [詳解]
#include <motion_estimators.hpp>
cv::detail::BundleAdjusterBaseを継承しています。
その他の継承メンバ | |
 基底クラス cv::detail::BundleAdjusterBase に属する継承公開メンバ関数 | |
| CV_WRAP const Mat | refinementMask () const |
| CV_WRAP void | setRefinementMask (const Mat &mask) |
| CV_WRAP double | confThresh () const |
| CV_WRAP void | setConfThresh (double conf_thresh) |
| CV_WRAP TermCriteria | termCriteria () |
| CV_WRAP void | setTermCriteria (const TermCriteria &term_criteria) |
| 基底クラス cv::detail::Estimator に属する継承公開メンバ関数 | |
| CV_WRAP_AS (apply) bool operator()(const std | |
| Estimates camera parameters. [詳解] | |
| 基底クラス cv::detail::BundleAdjusterBase に属する継承限定公開メンバ関数 | |
| BundleAdjusterBase (int num_params_per_cam, int num_errs_per_measurement) | |
| Construct a bundle adjuster base instance. [詳解] | |
| virtual bool | estimate (const std::vector< ImageFeatures > &features, const std::vector< MatchesInfo > &pairwise_matches, std::vector< CameraParams > &cameras) CV_OVERRIDE |
| 基底クラス cv::detail::Estimator に属する継承限定公開メンバ関数 | |
| virtual bool | estimate (const std::vector< ImageFeatures > &features, const std::vector< MatchesInfo > &pairwise_matches, CV_OUT std::vector< CameraParams > &cameras)=0 |
| This method must implement camera parameters estimation logic in order to make the wrapper detail::Estimator::operator()_ work. [詳解] | |
| 基底クラス cv::detail::BundleAdjusterBase に属する継承限定公開変数類 | |
| Mat | refinement_mask_ |
| int | num_images_ |
| int | total_num_matches_ |
| int | num_params_per_cam_ |
| int | num_errs_per_measurement_ |
| const ImageFeatures * | features_ |
| const MatchesInfo * | pairwise_matches_ |
| double | conf_thresh_ |
| TermCriteria | term_criteria_ |
| Mat | cam_params_ |
| std::vector< std::pair< int, int > > | edges_ |
詳解
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
It estimates all transformation parameters. Refinement mask is ignored.
このクラス詳解は次のファイルから抽出されました:
