Inheritance diagram for WeakClassifierHoG:

Public Member Functions
	WeakClassifierHoG (const Feature &reference, float min, float max, int offsetW, int offsetH, int w, int h, float *histogram)

float	Evaluate (const IntegralImage *intImage, const Rect &roi, float scale=1.0f)

float	EvaluateThre (const IntegralImage *intImage, const Rect &roi, float scale=1.0f)

Public Member Functions inherited from WeakClassifier
virtual bool	Update (const IntegralImage *intImage, const Rect &roi, int target)

virtual void	Initialize (const Size &patchSize)

virtual float	Evaluate (const IntegralImage *intImage, const Rect &roi)

Public Member Functions inherited from Classifier
virtual int	Classify (const IntegralImage *intImage, const Rect &roi, float scale=1.0f)

Detailed Description

Given a roi in an image, finds the HoG in some subregion and project it to get some value.

Constructor & Destructor Documentation

WeakClassifierHoG::WeakClassifierHoG	(	const Feature &	reference,
		float	min,
		float	max,
		int	offsetW,
		int	offsetH,
		int	w,
		int	h,
		float *	histogram
	)

Construct a weak classifier.

Parameters

reference	the reference for this weak classifier.
min,max	used to find the histogram. histogram: histogram.
others	for the HoGFeature.

float WeakClassifierHoG::Evaluate	(	const IntegralImage *	intImage,
		const Rect &	roi,
		float	scale = `1.0f`
	)

virtual

Return the dot product between the reference and result.

Reimplemented from Classifier.

float WeakClassifierHoG::EvaluateThre	(	const IntegralImage *	intImage,
		const Rect &	roi,
		float	scale = `1.0f`
	)

Return the increament in threshold. Used in AdaBoosting classifier.

The documentation for this class was generated from the following files: