objdetect/objdetect.hpp File Reference

#include "opencv2/core/core.hpp"
#include <map>
#include <deque>

Classes
struct	CvHaarFeature
struct	CvHaarClassifier
struct	CvHaarStageClassifier
struct	CvHaarClassifierCascade
struct	CvAvgComp
struct	CvLSVMFilterPosition
struct	CvLSVMFilterObject
struct	CvLatentSvmDetector
struct	CvObjectDetection
class	cv::LatentSvmDetector
struct	cv::LatentSvmDetector::ObjectDetection
class	cv::SimilarRects
class	cv::FeatureEvaluator
class	cv::CascadeClassifier
class	cv::CascadeClassifier::Data
struct	cv::CascadeClassifier::Data::DTreeNode
struct	cv::CascadeClassifier::Data::DTree
struct	cv::CascadeClassifier::Data::Stage
class	cv::CascadeClassifier::MaskGenerator
struct	cv::DetectionROI
struct	cv::HOGDescriptor
struct	CvDataMatrixCode
struct	cv::linemod::Feature
	Discriminant feature described by its location and label. More...
struct	cv::linemod::Template
class	cv::linemod::QuantizedPyramid
	Represents a modality operating over an image pyramid. More...
struct	cv::linemod::QuantizedPyramid::Candidate
	Candidate feature with a score. More...
class	cv::linemod::Modality
	Interface for modalities that plug into the LINE template matching representation. More...
class	cv::linemod::ColorGradient
	Modality that computes quantized gradient orientations from a color image. More...
class	cv::linemod::DepthNormal
	Modality that computes quantized surface normals from a dense depth map. More...
struct	cv::linemod::Match
	Represents a successful template match. More...
class	cv::linemod::Detector
	Object detector using the LINE template matching algorithm with any set of modalities. More...

Namespaces
	cv
	cv::linemod

Macros
#define	CV_HAAR_MAGIC_VAL   0x42500000
#define	CV_TYPE_NAME_HAAR   "opencv-haar-classifier"
#define	CV_IS_HAAR_CLASSIFIER(haar)
#define	CV_HAAR_FEATURE_MAX   3
#define	CV_HAAR_DO_CANNY_PRUNING   1
#define	CV_HAAR_SCALE_IMAGE   2
#define	CV_HAAR_FIND_BIGGEST_OBJECT   4
#define	CV_HAAR_DO_ROUGH_SEARCH   8

Typedefs
typedef struct CvHidHaarClassifierCascade	CvHidHaarClassifierCascade

Enumerations
enum	{ cv::CASCADE_DO_CANNY_PRUNING =1, cv::CASCADE_SCALE_IMAGE =2, cv::CASCADE_FIND_BIGGEST_OBJECT =4, cv::CASCADE_DO_ROUGH_SEARCH =8 }

Functions
CvHaarClassifierCascade *	cvLoadHaarClassifierCascade (const char *directory, CvSize orig_window_size)
void	cvReleaseHaarClassifierCascade (CvHaarClassifierCascade **cascade)
CvSeq *	cvHaarDetectObjects (const CvArr *image, CvHaarClassifierCascade *cascade, CvMemStorage *storage, double scale_factor CV_DEFAULT(1.1), int min_neighbors CV_DEFAULT(3), int flags CV_DEFAULT(0), CvSize min_size CV_DEFAULT(cvSize(0, 0)), CvSize max_size CV_DEFAULT(cvSize(0, 0)))
void	cvSetImagesForHaarClassifierCascade (CvHaarClassifierCascade *cascade, const CvArr *sum, const CvArr *sqsum, const CvArr *tilted_sum, double scale)
int	cvRunHaarClassifierCascade (const CvHaarClassifierCascade *cascade, CvPoint pt, int start_stage CV_DEFAULT(0))
CvLatentSvmDetector *	cvLoadLatentSvmDetector (const char *filename)
void	cvReleaseLatentSvmDetector (CvLatentSvmDetector **detector)
CvSeq *	cvLatentSvmDetectObjects (IplImage *image, CvLatentSvmDetector *detector, CvMemStorage *storage, float overlap_threshold CV_DEFAULT(0.5f), int numThreads CV_DEFAULT(-1))
CvSeq *	cvHaarDetectObjectsForROC (const CvArr *image, CvHaarClassifierCascade *cascade, CvMemStorage *storage, std::vector< int > &rejectLevels, std::vector< double > &levelWeightds, double scale_factor CV_DEFAULT(1.1), int min_neighbors CV_DEFAULT(3), int flags CV_DEFAULT(0), CvSize min_size CV_DEFAULT(cvSize(0, 0)), CvSize max_size CV_DEFAULT(cvSize(0, 0)), bool outputRejectLevels=false)
void	cv::groupRectangles (CV_OUT CV_IN_OUT vector< Rect > &rectList, int groupThreshold, double eps=0.2)
void	cv::groupRectangles (CV_OUT CV_IN_OUT vector< Rect > &rectList, CV_OUT vector< int > &weights, int groupThreshold, double eps=0.2)
void	cv::groupRectangles (vector< Rect > &rectList, int groupThreshold, double eps, vector< int > *weights, vector< double > *levelWeights)
void	cv::groupRectangles (vector< Rect > &rectList, vector< int > &rejectLevels, vector< double > &levelWeights, int groupThreshold, double eps=0.2)
void	cv::groupRectangles_meanshift (vector< Rect > &rectList, vector< double > &foundWeights, vector< double > &foundScales, double detectThreshold=0.0, Size winDetSize=Size(64, 128))
void	cv::findDataMatrix (InputArray image, CV_OUT vector< string > &codes, OutputArray corners=noArray(), OutputArrayOfArrays dmtx=noArray())
void	cv::drawDataMatrixCodes (InputOutputArray image, const vector< string > &codes, InputArray corners)
std::deque< CvDataMatrixCode >	cvFindDataMatrix (CvMat *im)
void	cv::linemod::colormap (const Mat &quantized, Mat &dst)
	Debug function to colormap a quantized image for viewing. More...
Ptr< Detector >	cv::linemod::getDefaultLINE ()
	Factory function for detector using LINE algorithm with color gradients. More...
Ptr< Detector >	cv::linemod::getDefaultLINEMOD ()
	Factory function for detector using LINE-MOD algorithm with color gradients and depth normals. More...

Macro Definition Documentation

#define CV_HAAR_DO_CANNY_PRUNING   1

#define CV_HAAR_DO_ROUGH_SEARCH   8

#define CV_HAAR_FEATURE_MAX   3

#define CV_HAAR_FIND_BIGGEST_OBJECT   4

#define CV_HAAR_MAGIC_VAL   0x42500000

#define CV_HAAR_SCALE_IMAGE   2

#define CV_IS_HAAR_CLASSIFIER

(

haar

)

Value:

((haar) != NULL &&                                                                   \
    (((const CvHaarClassifierCascade*)(haar))->flags & CV_MAGIC_MASK)==CV_HAAR_MAGIC_VAL)

#define CV_TYPE_NAME_HAAR   "opencv-haar-classifier"

Typedef Documentation

typedef struct CvHidHaarClassifierCascade CvHidHaarClassifierCascade

Function Documentation

std::deque<CvDataMatrixCode> cvFindDataMatrix

(

CvMat *

im

)

CvSeq* cvHaarDetectObjects	(	const CvArr *	image,
		CvHaarClassifierCascade *	cascade,
		CvMemStorage *	storage,
		double scale_factor	CV_DEFAULT1.1,
		int min_neighbors	CV_DEFAULT3,
		int flags	CV_DEFAULT0,
		CvSize min_size	CV_DEFAULTcvSize(0, 0),
		CvSize max_size	CV_DEFAULTcvSize(0, 0)
	)

CvSeq* cvHaarDetectObjectsForROC	(	const CvArr *	image,
		CvHaarClassifierCascade *	cascade,
		CvMemStorage *	storage,
		std::vector< int > &	rejectLevels,
		std::vector< double > &	levelWeightds,
		double scale_factor	CV_DEFAULT1.1,
		int min_neighbors	CV_DEFAULT3,
		int flags	CV_DEFAULT0,
		CvSize min_size	CV_DEFAULTcvSize(0, 0),
		CvSize max_size	CV_DEFAULTcvSize(0, 0),
		bool	outputRejectLevels = false
	)

CvSeq* cvLatentSvmDetectObjects	(	IplImage *	image,
		CvLatentSvmDetector *	detector,
		CvMemStorage *	storage,
		float overlap_threshold	CV_DEFAULT0.5f,
		int numThreads	CV_DEFAULT-1
	)

CvHaarClassifierCascade* cvLoadHaarClassifierCascade	(	const char *	directory,
		CvSize	orig_window_size
	)

CvLatentSvmDetector* cvLoadLatentSvmDetector

(

const char *

filename

)

void cvReleaseHaarClassifierCascade

(

CvHaarClassifierCascade **

cascade

)

void cvReleaseLatentSvmDetector

(

CvLatentSvmDetector **

detector

)

int cvRunHaarClassifierCascade	(	const CvHaarClassifierCascade *	cascade,
		CvPoint	pt,
		int start_stage	CV_DEFAULT0
	)

void cvSetImagesForHaarClassifierCascade	(	CvHaarClassifierCascade *	cascade,
		const CvArr *	sum,
		const CvArr *	sqsum,
		const CvArr *	tilted_sum,
		double	scale
	)