Package | Description |
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org.openimaj.feature.local.matcher.consistent | |
org.openimaj.math.geometry.transforms.estimation | |
org.openimaj.math.model.fit |
Modifier and Type | Field and Description |
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protected RobustModelFitting<Point2d,Point2d,?> |
ConsistentLocalFeatureMatcher2d.modelfit |
Modifier and Type | Method and Description |
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void |
ConsistentLocalFeatureMatcher2d.setFittingModel(RobustModelFitting<Point2d,Point2d,?> mf) |
void |
LocalConsistentKeypointMatcher.setFittingModel(RobustModelFitting<Point2d,Point2d,?> mf) |
void |
ModelFittingLocalFeatureMatcher.setFittingModel(RobustModelFitting<Point2d,Point2d,?> mf)
Set the object which robustly attempts to fit matches to the model
|
Constructor and Description |
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ConsistentLocalFeatureMatcher2d(LocalFeatureMatcher<T> innerMatcher,
RobustModelFitting<Point2d,Point2d,?> fit)
Default constructor
|
Modifier and Type | Class and Description |
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class |
RobustAffineTransformEstimator
Helper class to simplify robust estimation of 2D affine transforms without
having to deal with the nuts and bolts of the underlying robust model
fitters, etc.
|
class |
RobustFundamentalEstimator
Helper class to simplify robust estimation of the Fundamental matrix without
having to deal with the nuts and bolts of the underlying robust model
fitters, etc.
|
class |
RobustHomographyEstimator
Helper class to simplify robust estimation of homographies without having to
deal with the nuts and bolts of the underlying robust model fitters, etc.
|
Modifier and Type | Class and Description |
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class |
LMedS<I,D,M extends EstimatableModel<I,D>>
Least Median of Squares robust model fitting
|
class |
RANSAC<I,D,M extends EstimatableModel<I,D>>
The RANSAC Algorithm (RANdom SAmple Consensus)
|
class |
SimpleModelFitting<I,D,M extends EstimatableModel<I,D>>
Example robust fitting, that simply wraps the models estimate method.
|