Class SACSegmentation

Sample Consensus algorithm segmentation of 3D point cloud model.

public class SACSegmentation : Algorithm, IDisposable

Inherited Members: Algorithm.Write(FileStorage)

Algorithm.Read(FileNode)

Algorithm.Empty

Algorithm.Save(string)

Algorithm.GetDefaultName()

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.SetPostReleaseAction(Action)

CvObject.Dispose()

CvObject.Dispose(bool)

CvObject.DisposeManaged()

CvObject.DisposeUnmanaged()

CvObject.ThrowIfDisposed()

CvObject.CvPtr

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Remarks

See SacMethod for supported algorithms and SacModelType for supported models.

Confidence: The confidence that ensures at least one of the selections is an error-free set of data points.

DistanceThreshold: The distance to the model threshold. Considered as inlier point if distance to the model is less than threshold.

IsParallel: Whether to use parallelism or not. The number of threads is set by SetNumThreads(int).

RandomGeneratorState: State used to initialize the RNG (Random Number Generator).

Create(SacModelType, SacMethod, double, int): Creates a SACSegmentation object.

GetCustomModelConstraints(): Gets the custom model coefficient constraint function previously set via SetCustomModelConstraints(ModelConstraintFunction?), or null if none is set.

GetRadiusLimits(out double, out double): Gets the minimum and maximum radius limits for the model.

Segment(InputArray, OutputArray, OutputArray): Executes segmentation using the sample consensus method.

SetCustomModelConstraints(ModelConstraintFunction?): Sets a custom model coefficient constraint function. A custom function that takes model coefficients and returns whether the model is acceptable or not. Pass null to clear a previously set constraint function.

SetRadiusLimits(double, double): Sets the minimum and maximum radius limits for the model. Only used for models whose model parameters include a radius.