ApplyMixedHaarClassifier
Applies a mixed Haar classifier to an image.
Syntax
IppStatus ippiApplyMixedHaarClassifier_32f_C1R(const Ipp32f*
pSrc
, int
srcStep
, const Ipp32f*
pTilt
, int
tiltStep
, const Ipp32f*
pNorm
, int
normStep
, Ipp8u*
pMask
, int
maskStep
, IppiSize
roiSize
, int*
pPositive
, Ipp32f
threshold
, IppiHaarClassifier_32f*
pState
);
IppStatus ippiApplyMixedHaarClassifier_32s32f_C1R(const Ipp32s*
pSrc
, int
srcStep
, const Ipp32s*
pTilt
, int
tiltStep
, const Ipp32f*
pNorm
, int
normStep
, Ipp8u*
pMask
, int
maskStep
, IppiSize
roiSize
, int*
pPositive
, Ipp32f
threshold
, IppiHaarClassifier_32f*
pState
);
IppStatus ippiApplyMixedHaarClassifier_32s_C1RSfs(const Ipp32s*
pSrc
, int
srcStep
, const Ipp32s*
pTilt
, int
tiltStep
, const Ipp32s*
pNorm
, int
normStep
, Ipp8u*
pMask
, int
maskStep
, IppiSize
roiSize
, int*
pPositive
, Ipp32s
threshold
, IppiHaarClassifier_32s*
pState
, int
scaleFactor
);
Include Files
ippcv.h
Domain Dependencies
Headers:
ippcore.h
,
ippvm.h
,
ipps.h
,
ippi.h
Libraries:
ippcore.lib
,
ippvm.lib
,
ipps.lib
,
ippi.lib
Parameters
- pSrc
- Pointer to the ROI in the source image of integrals.
- srcStep
- Distance, in bytes, between the starting points of consecutive lines in the source image of integrals.
- pTilt
- Pointer to the ROI in the source image of tilted integrals.
- tiltStep
- Distance, in bytes, between the starting points of consecutive lines in the source image of tilted integrals.
- pNorm
- Pointer to the ROI in the source image of norm factors.
- normStep
- Distance, in bytes, between the starting points of consecutive lines in the image of the norm factors.
- pMask
- Pointer to the source and destination image of classification decisions.
- maskStep
- Distance, in bytes, between the starting points of consecutive lines in the image of classification decisions.
- pPositive
- Pointer to the number of positive decisions.
- roiSize
- Size of the source and destination images ROI in pixels.
- threshold
- Stage threshold value.
- pState
- Pointer to the mixed Haar classifier structure.
- scaleFactor
- Scale factor (see Integer Integer Result Scaling).
Description
This function operates with ROI (see Regions of Interest in Intel IPP).
This function applies the mixed Haar classifier 
pState
to the ROI of the source images pSrc
and pTilt
. The mixed Haar classifier is a classifier initialized by HaarClassifierInit and then modified by the TiltHaarFeatures function. The source images must be in the integral representation, they can be obtained by calling one of the integral functions beforehand. Common features are applied to the pSrc
image, and tilted features are applied to the pTilt
image. The sum of pixels on feature rectangles is computed as:
Here (
y
l
, x
l
) and (Y
l
, X
l
) are coordinates of top left and right bottom pixels of l
-th rectangle of the feature , and w
l
is the feature weight. For i
= 0. roiSize.height
- 1, j
= 0. roiSize.width
- 1 all pixels referred in the above formula should be allocated in memory.The input value of
pPositive
[0]
is used as a hint to choose the calculation algorithm. If it is greater than or equal to roiSize.width*roiSize.height
the value of the classifier is calculated in accordance with the above formula for all pixels of the input image. Otherwise the value of the classifier is calculated for all non-zero pixels of pMask
image. If the sum is less than threshold
than the negative decision is made and the value of the corresponding pixel of the pMask
image is set to zero. The number of positive decisions is assigned to the pPositive[0]
.Return Values
- ippStsNoErr
- Indicates no error.
- ippStsNullPtrErr
- Indicates an error when one of the specified pointers isNULL.
- ippStsSizeErr
- Indicates an error whenroiSizehas a field with a zero or negative value.
- ippStsStepErr
- Indicates an error when one of the image step values is less thanroiSize.width*<pixelSize>.
- ippStsNorEvenStepErr
- Indicates an error when one of the image step values is not divisible by 4 for 32-bit images.