Estimates the homography between two images from their matching keypoints. UUID: fb9dac20-2a44-44b2-aa42-2871eec31427
More...
#include <SolARHomographyEstimationOpencv.h>
Inheritance diagram for SolAR::MODULES::OPENCV::SolARHomographyEstimationOpencv:
Collaboration diagram for SolAR::MODULES::OPENCV::SolARHomographyEstimationOpencv:
Public Member Functions | |
| api::solver::pose::Transform2DFinder::RetCode | find (const std::vector< datastructure::Point2Df > &srcPoints, const std::vector< datastructure::Point2Df > &targetPoints, datastructure::Transform2Df &homography) override |
| Computes an homography transformation from a set of source points and target points. [in] srcPoints: set of source points. [in] targetPints: set of target points. [out] homography: 3x3 homography matrice transformation. More... | |
| void | unloadComponent () override final |
Detailed Description
Estimates the homography between two images from their matching keypoints. UUID: fb9dac20-2a44-44b2-aa42-2871eec31427
- Properties
ransacReprojThreshold Here we are using the RANSAC to remove outlier. That is if:
\[ \left|| dstPoints_i - convertPointHomogenous \left( H * srcPoints_i \right) \right|| > ransacReprojThreshold \]
then the point i is considered an outlier. If srcPoints and dstPoints are measured in pixels, it usually makes sense to set this parameter somewhere in the range of 1 to 10.type: double; range : [0..MAX DOUBLE]; default: 8
Member Function Documentation
◆ find()
|
override |
Computes an homography transformation from a set of source points and target points. [in] srcPoints: set of source points. [in] targetPints: set of target points. [out] homography: 3x3 homography matrice transformation.
- Returns
- Transform2DFinder::RetCode::TRANSFORM2D_ESTIMATION_OK if succed.
The documentation for this class was generated from the following file:
- SolARModuleOpenCV/interfaces/SolARHomographyEstimationOpencv.h
