Inheritance diagram for SCVParams:

Public Types
enum	HistType { Dirac, Bilinear, BSpline }

Public Types inherited from AMParams
typedef shared_ptr< IlluminationModel >	ILM

Public Member Functions
	SCVParams (const AMParams *am_params, HistType _hist_type, int _n_bins, double _pre_seed, bool _partition_of_unity, bool _weighted_mapping, bool _mapped_gradient, bool _approx_dist_feat, bool _debug_mode)
	value constructor

	SCVParams (const SCVParams *params=nullptr)
	default/copy constructor

Public Member Functions inherited from AMParams
	AMParams (int _resx, int _resy, double _grad_eps=GRAD_EPS, double _hess_eps=HESS_EPS, bool _uchar_input=UCHAR_INPUT, double _likelihood_alpha=AM_LIKELIHOOD_ALPHA, double _likelihood_beta=AM_LIKELIHOOD_BETA, bool _dist_from_likelihood=AM_DIST_FROM_LIKELIHOOD, double _learning_rate=AM_LEARNING_RATE, IlluminationModel *_ilm=nullptr)

	AMParams (const AMParams *am_params=nullptr)

Public Member Functions inherited from ImgParams
	ImgParams (int _resx, int _resy, double _grad_eps=GRAD_EPS, double _hess_eps=HESS_EPS, bool _uchar_input=UCHAR_INPUT)

	ImgParams (const ImgParams *img_params=nullptr)

Static Public Member Functions
static const char *	toString (HistType _hist_type)

Public Attributes
HistType	hist_type
	method used for computing the joint histogram: Dirac: Dirac delta function that uses nearest neighbor interpolation Bilinear: Bilinearr interpolation BSpline: use BSpline function of order 3 as the kernel function for Parzen density estimation

int	n_bins
	no. More...

bool	partition_of_unity
	decides whether the partition of unity constraint has to be strictly observed for border bins; if enabled, the pixel values will be normalized in the range [1, n_bins-2] so each pixel contributes to all 4 bins

double	pre_seed
	initial value with which each bin of the joint histogram is pre-seeded to avoid numerical instabilities due to empty or near empty bins

bool	weighted_mapping

bool	mapped_gradient

bool	approx_dist_feat

bool	debug_mode
	decides whether logging data will be printed for debugging purposes; only matters if logging option is enabled at compile time

Public Attributes inherited from AMParams
double	likelihood_alpha
	multiplicative and additive factors for the exponent in the likelihood

double	likelihood_beta

bool	dist_from_likelihood
	use negative of likelihood as the distance measure

double	learning_rate
	optional factor to control the rate of online learning

ILM	ilm
	optional parametric function of pixel values that can account for lighting changes

Public Attributes inherited from ImgParams
int	resx
	horizontal and vertical sampling resolutions

int	resy

double	grad_eps
	numerical increment/decrement used for computing image hessian and gradient using the method of finite differences

double	hess_eps

bool	uchar_input

Member Data Documentation

int SCVParams::n_bins

no.

of bins in the histograms if use_bspl and partition_of_unity are enabled, this should be 2 more than the desired no. of bins (w.r.t normalized pixel range) since the actual range within which the pixel values are normalized is 2 less than this value to avoid boundary conditions while computing the contribution of each pixel to different bins by ensuring that pixels with the maximum and minimum values contribute to all 4 bins required by the bspline function of order 3 used here;

The documentation for this struct was generated from the following file:

AM/include/mtf/AM/SCV.h

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Member Data Documentation