Base class for robust estimators for different SSMs adapted from CvModelEstimator2 defined in _modeltest.h inside calib3d module.
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#include <SSMEstimator.h>
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| SSMEstimator (int _modelPoints, CvSize _modelSize, int _maxBasicSolutions, bool _use_boost_rng) |
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virtual int | runKernel (const CvMat *m1, const CvMat *m2, CvMat *model)=0 |
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virtual bool | runLMeDS (const CvMat *m1, const CvMat *m2, CvMat *model, CvMat *mask, double confidence=0.99, int maxIters=2000, int maxAttempts=300) |
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virtual bool | runRANSAC (const CvMat *m1, const CvMat *m2, CvMat *model, CvMat *mask, double threshold, double confidence=0.99, int maxIters=2000, int maxAttempts=300) |
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virtual bool | refine (const CvMat *, const CvMat *, CvMat *, int) |
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virtual void | setSeed (int64 seed) |
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typedef boost::mt19937 | BoostRNG |
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virtual void | computeReprojError (const CvMat *m1, const CvMat *m2, const CvMat *model, CvMat *error)=0 |
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virtual int | findInliers (const CvMat *m1, const CvMat *m2, const CvMat *model, CvMat *error, CvMat *mask, double threshold) |
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virtual bool | getSubset (const CvMat *m1, const CvMat *m2, CvMat *ms1, CvMat *ms2, int maxAttempts=1000) |
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virtual bool | checkSubset (const CvMat *ms1, int count) |
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CvRNG | cv_rng |
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BoostRNG | boost_rng |
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int | modelPoints |
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CvSize | modelSize |
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int | maxBasicSolutions |
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bool | checkPartialSubsets |
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const bool | use_boost_rng |
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Base class for robust estimators for different SSMs adapted from CvModelEstimator2 defined in _modeltest.h inside calib3d module.
The documentation for this class was generated from the following file:
1.8.11
