Struct CirclesGridFinderParameters

Namespace

OpenCvSharp

Assembly

OpenCvSharp.dll

Parameters for the findCirclesGrid process (cv::CirclesGridFinderParameters).

public struct CirclesGridFinderParameters

Inherited Members

ValueType.Equals(object)

ValueType.GetHashCode()

ValueType.ToString()

object.Equals(object, object)

object.GetType()

object.ReferenceEquals(object, object)

Constructors

CirclesGridFinderParameters()

Constructor

public CirclesGridFinderParameters()

Fields

ConvexHullFactor

convexHullFactor

public float ConvexHullFactor

Field Value

float

DensityNeighborhoodSize

densityNeighborhoodSize

public Size2f DensityNeighborhoodSize

Field Value

Size2f

EdgeGain

edgeGain

public float EdgeGain

Field Value

float

EdgePenalty

edgePenalty

public float EdgePenalty

Field Value

float

ExistingVertexGain

existingVertexGain

public float ExistingVertexGain

Field Value

float

GridType

gridType

public CirclesGridFinderGridType GridType

Field Value

CirclesGridFinderGridType

KeypointScale

keypointScale

public int KeypointScale

Field Value

int

KmeansAttempts

kmeansAttempts

public int KmeansAttempts

Field Value

int

MaxRectifiedDistance

Max deviation from prediction. Used by CALIB_CB_CLUSTERING.

public float MaxRectifiedDistance

Field Value

float

MinDensity

minDensity

public float MinDensity

Field Value

float

MinDistanceToAddKeypoint

minDistanceToAddKeypoint

public int MinDistanceToAddKeypoint

Field Value

int

MinGraphConfidence

minGraphConfidence

public float MinGraphConfidence

Field Value

float

MinRNGEdgeSwitchDist

minRNGEdgeSwitchDist

public float MinRNGEdgeSwitchDist

Field Value

float

SquareSize

Distance between two adjacent points. Used by CALIB_CB_CLUSTERING.

public float SquareSize

Field Value

float

VertexGain

vertexGain

public float VertexGain

Field Value

float

VertexPenalty

vertexPenalty

public float VertexPenalty

Field Value

float