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

Public Member Functions | |
| AffineHomography () | |
| 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< 2 > | A |
| the linear part of the affine transformation More... | |
| TooN::Vector< 2 > | t |
| the translation part of the affine transformation More... | |
Static Public Attributes | |
| static const int | hypothesis_size = 3 |
| minimal number of correspondences More... | |
RANSAC estimator to compute an affine 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 |
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inline |
References A, tag::first_point(), tag::noise(), tag::second_point(), and t.
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inline |
References tag::noise(), and score().
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inline |
References A, tag::first_point(), tag::second_point(), and t.
Referenced by isInlier().
| TooN::Matrix<2> tag::AffineHomography::A |
the linear part of the affine transformation
Referenced by estimate(), and score().
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static |
minimal number of correspondences
| TooN::Vector<2> tag::AffineHomography::t |
the translation part of the affine transformation
Referenced by estimate(), and score().
1.8.3.1