public static CvSeq<CvAvgComp> HaarDetectObjects(
	CvArr image,
	CvHaarClassifierCascade cascade,
	CvMemStorage storage,
	double scaleFactor,
	int minNeighbors
)

Public Shared Function HaarDetectObjects ( 
	image As CvArr,
	cascade As CvHaarClassifierCascade,
	storage As CvMemStorage,
	scaleFactor As Double,
	minNeighbors As Integer
) As CvSeq(Of CvAvgComp)

public:
static CvSeq<CvAvgComp>^ HaarDetectObjects(
	CvArr^ image, 
	CvHaarClassifierCascade^ cascade, 
	CvMemStorage^ storage, 
	double scaleFactor, 
	int minNeighbors
)

static member HaarDetectObjects : 
        image : CvArr * 
        cascade : CvHaarClassifierCascade * 
        storage : CvMemStorage * 
        scaleFactor : float * 
        minNeighbors : int -> CvSeq<CvAvgComp> 

Parameters

image

Type: OpenCvSharpCvArr
Image to detect objects in.

cascade

Type: OpenCvSharpCvHaarClassifierCascade
Haar classifier cascade in internal representation.

storage

Type: OpenCvSharpCvMemStorage
Memory storage to store the resultant sequence of the object candidate rectangles.

scaleFactor

Type: SystemDouble
The factor by which the search window is scaled between the subsequent scans, for example, 1.1 means increasing window by 10%.

minNeighbors

Type: SystemInt32
Minimum number (minus 1) of neighbor rectangles that makes up an object. All the groups of a smaller number of rectangles than min_neighbors-1 are rejected. If min_neighbors is 0, the function does not any grouping at all and returns all the detected candidate rectangles, which may be useful if the user wants to apply a customized grouping procedure.

Return Value

[Missing <returns> documentation for "M:OpenCvSharp.Cv.HaarDetectObjects(OpenCvSharp.CvArr,OpenCvSharp.CvHaarClassifierCascade,OpenCvSharp.CvMemStorage,System.Double,System.Int32)"]

Reference