public static void SetImagesForHaarClassifierCascade(
	CvHaarClassifierCascade cascade,
	CvArr sum,
	CvArr sqsum,
	CvArr tiltedSum,
	double scale
)

Public Shared Sub SetImagesForHaarClassifierCascade ( 
	cascade As CvHaarClassifierCascade,
	sum As CvArr,
	sqsum As CvArr,
	tiltedSum As CvArr,
	scale As Double
)

public:
static void SetImagesForHaarClassifierCascade(
	CvHaarClassifierCascade^ cascade, 
	CvArr^ sum, 
	CvArr^ sqsum, 
	CvArr^ tiltedSum, 
	double scale
)

static member SetImagesForHaarClassifierCascade : 
        cascade : CvHaarClassifierCascade * 
        sum : CvArr * 
        sqsum : CvArr * 
        tiltedSum : CvArr * 
        scale : float -> unit 

Parameters

cascade

Type: OpenCvSharpCvHaarClassifierCascade
Hidden Haar classifier cascade, created by cvCreateHidHaarClassifierCascade.

sum

Type: OpenCvSharpCvArr
Integral (sum) single-channel image of 32-bit integer format. This image as well as the two subsequent images are used for fast feature evaluation and brightness/contrast normalization. They all can be retrieved from input 8-bit or floating point single-channel image using The function cvIntegral.

sqsum

Type: OpenCvSharpCvArr
Square sum single-channel image of 64-bit floating-point format.

tiltedSum

Type: OpenCvSharpCvArr
Tilted sum single-channel image of 32-bit integer format.

scale

Type: SystemDouble
Window scale for the cascade. If scale=1, original window size is used (objects of that size are searched) - the same size as specified in cvLoadHaarClassifierCascade (24x24 in case of "<default_face_cascade>"), if scale=2, a two times larger window is used (48x48 in case of default face cascade). While this will speed-up search about four times, faces smaller than 48x48 cannot be detected.

Reference