#include <cv.h>
#include <highgui.h>
#include <vector>
#include "outlet_pose_estimation/detail/features.h"
#include "outlet_pose_estimation/detail/affine_transform.h"
#include "outlet_pose_estimation/detail/outlet_model.h"

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Functions
CvSparseMat *	buildHoughHist (std::vector< feature_t > &input, const std::vector< feature_t > &train_features, int hist_size, float *ranges)
void	calcExactLocation (std::vector< feature_t > &features, const std::vector< feature_t > &train_features, std::vector< feature_t > &src_outlet, std::vector< feature_t > &dst_outlet, float &reprojectionError, int accuracy=10, bool useSecondAttraction=true)
void	calcOutletPosition (const std::vector< feature_t > &train_features, float *affine_transform, std::vector< feature_t > &features)
void	convertFeaturesToOutlet (const std::vector< feature_t > &res_features, std::vector< outlet_t > &holes, IplImage *resImage=0)
void	convertFeaturesToOutlet (const std::vector< feature_t > &res_features, const std::vector< bool > &is_detected, std::vector< outlet_t > &holes)
float	generalizedHoughTransform (std::vector< feature_t > &hole_candidates, const std::vector< feature_t > &train_features, int hist_size, float ranges, std::vector< outlet_t > &holes, IplImage ghtImage=NULL, IplImage resImage=NULL, char output_path=0, char *base_filename=0)
void	getMaxHistValues (const CvSparseMat hist, int hist_size, float ranges, float &maxs, int &count, int MIN_VOTES)
int	getMaxHistValues (const CvSparseMat hist, int hist_size, float ranges, float &maxs, int &count)

Function Documentation

CvSparseMat* buildHoughHist	(	std::vector< feature_t > &	input,
		const std::vector< feature_t > &	train_features,
		int *	hist_size,
		float **	ranges
	)

void calcExactLocation	(	std::vector< feature_t > &	features,
		const std::vector< feature_t > &	train_features,
		std::vector< feature_t > &	src_outlet,
		std::vector< feature_t > &	dst_outlet,
		float &	reprojectionError,
		int	accuracy = `10`,
		bool	useSecondAttraction = `true`
	)

void calcOutletPosition	(	const std::vector< feature_t > &	train_features,
		float *	affine_transform,
		std::vector< feature_t > &	features
	)

void convertFeaturesToOutlet	(	const std::vector< feature_t > &	res_features,
		std::vector< outlet_t > &	holes,
		IplImage *	resImage = `0`
	)

void convertFeaturesToOutlet	(	const std::vector< feature_t > &	res_features,
		const std::vector< bool > &	is_detected,
		std::vector< outlet_t > &	holes
	)

float generalizedHoughTransform	(	std::vector< feature_t > &	hole_candidates,
		const std::vector< feature_t > &	train_features,
		int *	hist_size,
		float **	ranges,
		std::vector< outlet_t > &	holes,
		IplImage *	ghtImage = `NULL`,
		IplImage *	resImage = `NULL`,
		char *	output_path = `0`,
		char *	base_filename = `0`
	)

void getMaxHistValues	(	const CvSparseMat *	hist,
		int *	hist_size,
		float **	ranges,
		float **&	maxs,
		int &	count,
		int	MIN_VOTES
	)

Definition at line 452 of file generalized_hough.cpp.

int getMaxHistValues	(	const CvSparseMat *	hist,
		int *	hist_size,
		float **	ranges,
		float **&	maxs,
		int &	count
	)

Definition at line 505 of file generalized_hough.cpp.

Functions

Function Documentation