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TooN Algorithm Library - tag
0.2
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#include <ransac_estimators.h>

Public Member Functions | |
| Homography () | |
| template<class It > | |
| void | estimate (It begin, It end) |
| template<class M > | |
| double | score (const M &m) const |
| template<class M > | |
| bool | isInlier (const M &m, double r) const |
Public Attributes | |
| TooN::Matrix< 3 > | H |
| homography More... | |
Static Public Attributes | |
| static const int | hypothesis_size = 4 |
| minimal number of correspondences More... | |
RANSAC estimator to compute an homography from a set of 2D-2D correspondences The observations passed (via iterators) to the estimate method must allow:
The resulting transformation will map from a -> b.
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inline |
References H.
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inline |
References tag::getProjectiveHomography(), and H.
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inline |
References tag::noise(), and score().
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inline |
References tag::first_point(), H, and tag::second_point().
Referenced by isInlier().
| TooN::Matrix<3> tag::Homography::H |
homography
Referenced by estimate(), Homography(), and score().
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static |
minimal number of correspondences
1.8.3.1