CovarMethod Class

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cvCalcCovarMatrix method types

Inheritance Hierarchy

SystemObject
  SystemValueType
    SystemEnum
      Emgu.CV.CvEnumCovarMethod

Namespace: Emgu.CV.CvEnum
Assembly: Emgu.CV.World.NetStandard (in Emgu.CV.World.NetStandard.dll) Version: 1.0.0

Syntax

[FlagsAttribute]
public sealed class CovarMethod : Enum

<FlagsAttribute>
Public NotInheritable Class CovarMethod
	Inherits Enum

[FlagsAttribute]
public ref class CovarMethod sealed : public Enum

[<SealedAttribute>]
[<FlagsAttribute>]
type CovarMethod =  
    class
        inherit Enum
    end

The CovarMethod type exposes the following members.

Methods

	Name	Description
	CompareTo	Compares this instance to a specified object and returns an indication of their relative values. (Inherited from Enum.)
	Equals	Returns a value indicating whether this instance is equal to a specified object. (Inherited from Enum.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Returns the hash code for the value of this instance. (Inherited from Enum.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	GetTypeCode	Returns the type code of the underlying type of this enumeration member. (Inherited from Enum.)
	HasFlag	Determines whether one or more bit fields are set in the current instance. (Inherited from Enum.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Converts the value of this instance to its equivalent string representation. (Inherited from Enum.)
	ToString(IFormatProvider)	Obsolete. This method overload is obsolete; use ToString. (Inherited from Enum.)
	ToString(String)	Converts the value of this instance to its equivalent string representation using the specified format. (Inherited from Enum.)
	ToString(String, IFormatProvider)	Obsolete. This method overload is obsolete; use ToString(String). (Inherited from Enum.)

Fields

	Name	Description
	Cols	All the input vectors are stored in a single matrix, as its columns
	Normal	[v1-avg, v2-avg,...] * transpose([v1-avg,v2-avg,...])
	Rows	All the input vectors are stored in a single matrix, as its rows
	Scale	Scale the covariance matrix coefficients by number of the vectors
	Scrambled	Calculates covariation matrix for a set of vectors transpose([v1-avg, v2-avg,...]) * [v1-avg,v2-avg,...]
	UseAvg	Do not calc average (i.e. mean vector) - use the input vector instead (useful for calculating covariance matrix by parts)
	value__