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refactor integral channels

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This commit is contained in:
marina.kolpakova
2012-11-05 23:28:37 +04:00
parent 65543c53f6
commit 6a3a723938
3 changed files with 39 additions and 39 deletions
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49
modules/objdetect/include/opencv2/objdetect/objdetect.hpp
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@@ -511,6 +511,29 @@ public:
int kind;
};
// Create channel integrals for Soft Cascade detector.
class CV_EXPORTS Channels
{
public:
// constrictor form resizing factor.
// Param shr is a resizing factor. Resize is applied before the computing integral sum
Channels(const int shrinkage);
// Appends specified number of HOG first-order features integrals into given vector.
// Param gray is an input 1-channel gray image.
// Param integrals is a vector of integrals. Hog-channels will be appended to it.
// Param bins is a number of hog-bins
void appendHogBins(const cv::Mat gray, std::vector<cv::Mat>& integrals, int bins) const;
// Converts 3-channel BGR input frame in Luv and appends each channel to the integrals.
// Param frame is an input 3-channel BGR colored image.
// Param integrals is a vector of integrals. Computed from the frame luv-channels will be appended to it.
void appendLuvBins(const cv::Mat frame, std::vector<cv::Mat>& integrals) const;
private:
int shrinkage;
};
// An empty cascade will be created.
// Param minScale is a minimum scale relative to the original size of the image on which cascade will be applyed.
// Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
@@ -547,32 +570,6 @@ private:
CV_EXPORTS bool initModule_objdetect(void);
/**
* \class IntegralChannels
* \brief Create channel integrals for Soft Cascade detector.
*/
class CV_EXPORTS IntegralChannels
{
public:
//! constrictor form resizing factor.
//! Param shr is a resizing factor. Resize is applied before integral sum computing
IntegralChannels(const int shr) : shrinkage(shr) {}
//! Appends specified number of hog first order feature integrals into given vector.
//! Param gray is an input 1-chennel gray image.
//! Param integrals is a vector of integrals. Computed from frame frame hog-channels will be appended to it.
//! Param bins is a number of hog-bins
void createHogBins(const cv::Mat gray, std::vector<cv::Mat>& integrals, int bins) const;
//! Converts 3-chennel BGR input frame to Luv and append each channel to the integrals.
//! Param frame is an input 3-chennel BGR colored image.
//! Param integrals is a vector of integrals. Computed from frame frame luv-channels will be appended to it.
void createLuvBins(const cv::Mat frame, std::vector<cv::Mat>& integrals) const;
private:
int shrinkage;
};
//////////////// HOG (Histogram-of-Oriented-Gradients) Descriptor and Object Detector //////////////
// struct for detection region of interest (ROI)