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Create a flann index using a composition of KDTreee and KMeans tree

Namespace: Emgu.CV.Flann
Assembly: Emgu.CV (in Emgu.CV.dll) Version: 2.3.0.1416 (2.3.0.1416)

Syntax

C#
public Index(
	Matrix<float> values,
	int numberOfKDTrees,
	int branching,
	int iterations,
	CenterInitType centersInitType,
	float cbIndex
)
Visual Basic
Public Sub New ( _
	values As Matrix(Of Single), _
	numberOfKDTrees As Integer, _
	branching As Integer, _
	iterations As Integer, _
	centersInitType As CenterInitType, _
	cbIndex As Single _
)
Visual C++
public:
Index(
	Matrix<float>^ values, 
	int numberOfKDTrees, 
	int branching, 
	int iterations, 
	CenterInitType centersInitType, 
	float cbIndex
)

Parameters

values
Type: Emgu.CV..::..Matrix<(Of <(<'Single>)>)>
A row by row matrix of descriptors
numberOfKDTrees
Type: System..::..Int32
The number of KDTrees to be used
branching
Type: System..::..Int32
Branching factor (for kmeans tree), use 32 for default
iterations
Type: System..::..Int32
Max iterations to perform in one kmeans clustering (kmeans tree), use 11 for deafault
centersInitType
Type: Emgu.CV.Flann..::..CenterInitType
Algorithm used for picking the initial cluster centers for kmeans tree, use RANDOM for default
cbIndex
Type: System..::..Single
Cluster boundary index. Used when searching the kmeans tree. Use 0.2 for default

See Also