| Interface | Description |
|---|---|
| ModelFitting<I,D,M extends Model<I,D>> |
An interface that describes an object capable of fitting data to a model in a
more generic way than through the Model's estimate method.
|
| RANSAC.StoppingCondition |
Interface for classes that can control RANSAC iterations
|
| RobustModelFitting<I,D,M extends Model<I,D>> |
RobustModelFitting is an interface for fitting models that are able to
distinguish between inliers and outliers in the training data.
|
| Class | Description |
|---|---|
| LMedS<I,D,M extends EstimatableModel<I,D>> |
Least Median of Squares robust model fitting
|
| RANSAC<I,D,M extends EstimatableModel<I,D>> |
The RANSAC Algorithm (RANdom SAmple Consensus)
|
| RANSAC.BestFitStoppingCondition |
Stopping condition that allows the RANSAC algorithm to run until all the
iterations have been exhausted.
|
| RANSAC.NumberInliersStoppingCondition |
Stopping condition that tests the number of matches against a threshold.
|
| RANSAC.PercentageInliersStoppingCondition |
Stopping condition that tests the number of matches against a percentage
threshold of the whole data.
|
| RANSAC.ProbabilisticMinInliersStoppingCondition |
Stopping condition that tests the number of matches against a percentage
threshold of the whole data.
|
| SimpleModelFitting<I,D,M extends EstimatableModel<I,D>> |
Example robust fitting, that simply wraps the models estimate method.
|