Inheritance diagram for LSCVParams:

Public Member Functions
	LSCVParams (const AMParams *am_params, int _sub_regions_x, int _sub_regions_y, int _spacing_x, int _spacing_y, bool _affine_mapping, bool _once_per_frame, int _n_bins, double _pre_seed, bool _weighted_mapping, bool _show_subregions, bool _approx_dist_feat)
	value constructor

	LSCVParams (const LSCVParams *params=nullptr)
	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)

Public Attributes
int	n_sub_regions_x
	no. of sub regions in horizontal and vertical directions

int	n_sub_regions_y

int	spacing_x
	spacing in pixels between adjacent sub regions

int	spacing_y

bool	affine_mapping

bool	once_per_frame

int	n_bins
	no. of bins in the histograms

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
	enable this to map each intensity to the weighted average of the two entries of the intensity map corresponding to the floor and ceil of that intensity; if disabled it will be mapped to the entry corresponding to its floor leading to some information loss due to the fractional part that was discarded

bool	show_subregions

bool	approx_dist_feat
	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

Additional Inherited Members
Public Types inherited from AMParams
typedef shared_ptr< IlluminationModel >	ILM

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

AM/include/mtf/AM/LSCV.h

Public Member Functions

Public Attributes

Additional Inherited Members