Uses regression to predict new pose from current sample. More...

#include <mfpf_pose_predictor.h>

Public Member Functions
	mfpf_pose_predictor ()
virtual	~mfpf_pose_predictor ()
void	set_step_size (double)
	Size of step between sample points.
double	step_size () const
	Size of step between sample points.
const mfpf_pose_type &	pose_type () const
	Which sort of transformation to use.
void	set_pose_type (const mfpf_pose_type &)
	Which sort of transformation to use.
void	set (const vcl_vector< mbl_chord > &roi, double ref_x, double ref_y, short norm_method=1)
	Define region to be used.
void	set_as_box (unsigned ni, unsigned nj, short norm_method=1)
	Initialise as a rectangle with ref. in centre.
void	set_as_ellipse (double ri, double rj, short norm_method=1)
	Define model region as an ellipse with radii ri, rj.
void	set_predictor (const vnl_matrix< double > &R, const vnl_vector< double > &dp0)
	Set regression matrices.
void	set_var_min (double var_min)
	Minimum variance used when normalising patch.
double	var_min () const
	Minimum variance used when normalising patch.
virtual double	radius () const
	Radius of circle containing modelled region.
unsigned	n_pixels () const
virtual void	get_sample_vector (const vimt_image_2d_of< float > &image, const vgl_point_2d< double > &p, const vgl_vector_2d< double > &u, vnl_vector< double > &v)
	Get sample of region around specified point in image.
virtual void	new_pose (const vimt_image_2d_of< float > &image, const mfpf_pose &pose0, mfpf_pose &new_pose)
	Sample at pose0 and predict a better pose (new_pose).
virtual void	get_outline (vcl_vector< vgl_point_2d< double > > &pts) const
	Generate points in ref frame that represent boundary.
short	version_no () const
	Version number for I/O.
virtual vcl_string	is_a () const
	Name of the class.
virtual mfpf_pose_predictor *	clone () const
	Create a copy on the heap and return base class pointer.
virtual void	print_summary (vcl_ostream &os) const
	Print class to os.
void	print_shape (vcl_ostream &os) const
	Prints ASCII representation of shape to os.
virtual void	b_write (vsl_b_ostream &bfs) const
	Save class to binary file stream.
virtual void	b_read (vsl_b_istream &bfs)
	Load class from binary file stream.
bool	operator== (const mfpf_pose_predictor &nc) const
	Test equality.
Private Member Functions
void	set_defaults ()
	Define default values.
Private Attributes
double	step_size_
	Size of step between sample points.
double	ref_x_
	Kernel reference point (in roi_ni_ x roi_nj_ grid).
double	ref_y_
	Kernel reference point (in roi_ni_ x roi_nj_ grid).
vcl_vector< mbl_chord >	roi_
	Chords defining the region of interest.
unsigned	roi_ni_
	Size of bounding box of region of interest.
unsigned	roi_nj_
	Size of bounding box of region of interest.
unsigned	n_pixels_
	Number of pixels in region.
mfpf_pose_type	pose_type_
	Which sort of transformation to use.
short	norm_method_
	Which normalisation to use (0=none, 1=linear).
double	var_min_
	Lower bound on variance used in normalisation.
vnl_matrix< double >	R_
	Matrix used to predict update dp=Rv+dp0.
vnl_vector< double >	dp0_
	Offset in regression dp=Rv+dp0.

Detailed Description

Uses regression to predict new pose from current sample.

Samples intensities in a region of interest, defined by the set of mbl_chords roi_. These are in the bounding box [0,roi_ni_)x[0,roi_nj_). Uses a pre-trained regression function to predict a better position based on this sample.

Definition at line 29 of file mfpf_pose_predictor.h.

Constructor & Destructor Documentation

mfpf_pose_predictor::mfpf_pose_predictor ( )

Definition at line 25 of file mfpf_pose_predictor.cxx.

mfpf_pose_predictor::~mfpf_pose_predictor ( ) [virtual]

Definition at line 89 of file mfpf_pose_predictor.cxx.

Member Function Documentation

void mfpf_pose_predictor::b_read ( vsl_b_istream & bfs ) [virtual]

Load class from binary file stream.

Definition at line 318 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::b_write ( vsl_b_ostream & bfs ) const [virtual]

Save class to binary file stream.

Definition at line 298 of file mfpf_pose_predictor.cxx.

mfpf_pose_predictor * mfpf_pose_predictor::clone ( ) const [virtual]

Create a copy on the heap and return base class pointer.

Definition at line 252 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::get_outline ( vcl_vector< vgl_point_2d< double > > & pts ) const [virtual]

Generate points in ref frame that represent boundary.

Points of a contour around the shape. Used for display purposes.

Definition at line 228 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::get_sample_vector	(	const vimt_image_2d_of< float > &	image,
		const vgl_point_2d< double > &	p,
		const vgl_vector_2d< double > &	u,
		vnl_vector< double > &	v
	)		`[virtual]`

Get sample of region around specified point in image.

Definition at line 155 of file mfpf_pose_predictor.cxx.

vcl_string mfpf_pose_predictor::is_a ( ) const [virtual]

Name of the class.

Definition at line 246 of file mfpf_pose_predictor.cxx.

unsigned mfpf_pose_predictor::n_pixels ( ) const [inline]

Definition at line 116 of file mfpf_pose_predictor.h.

void mfpf_pose_predictor::new_pose	(	const vimt_image_2d_of< float > &	image,
		const mfpf_pose &	pose0,
		mfpf_pose &	new_pose
	)		`[virtual]`

Sample at pose0 and predict a better pose (new_pose).

Definition at line 188 of file mfpf_pose_predictor.cxx.

bool mfpf_pose_predictor::operator== ( const mfpf_pose_predictor & nc ) const

Test equality.

Definition at line 348 of file mfpf_pose_predictor.cxx.

const mfpf_pose_type& mfpf_pose_predictor::pose_type ( ) const [inline]

Which sort of transformation to use.

Definition at line 84 of file mfpf_pose_predictor.h.

void mfpf_pose_predictor::print_shape ( vcl_ostream & os ) const

Prints ASCII representation of shape to os.

Definition at line 276 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::print_summary ( vcl_ostream & os ) const [virtual]

Print class to os.

Definition at line 261 of file mfpf_pose_predictor.cxx.

double mfpf_pose_predictor::radius ( ) const [virtual]

Radius of circle containing modelled region.

Definition at line 141 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::set	(	const vcl_vector< mbl_chord > &	roi,
		double	ref_x,
		double	ref_y,
		short	norm_method = `1`
	)

Define region to be used.

Define region and cost of region.

Definition at line 94 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::set_as_box	(	unsigned	ni,
		unsigned	nj,
		short	norm_method = `1`
	)

Initialise as a rectangle with ref. in centre.

Definition at line 52 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::set_as_ellipse	(	double	ri,
		double	rj,
		short	norm_method = `1`
	)

Define model region as an ellipse with radii ri, rj.

Ref. point in centre.

Definition at line 64 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::set_defaults ( ) [private]

Define default values.

Definition at line 31 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::set_pose_type ( const mfpf_pose_type & pt )

Which sort of transformation to use.

Definition at line 81 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::set_predictor	(	const vnl_matrix< double > &	R,
		const vnl_vector< double > &	dp0
	)

Set regression matrices.

Definition at line 132 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::set_step_size ( double s )

Size of step between sample points.

Definition at line 46 of file mfpf_pose_predictor.cxx.

void mfpf_pose_predictor::set_var_min ( double var_min ) [inline]

Minimum variance used when normalising patch.

Definition at line 108 of file mfpf_pose_predictor.h.

double mfpf_pose_predictor::step_size ( ) const [inline]

Size of step between sample points.

Definition at line 81 of file mfpf_pose_predictor.h.

double mfpf_pose_predictor::var_min ( ) const [inline]

Minimum variance used when normalising patch.

Definition at line 111 of file mfpf_pose_predictor.h.

short mfpf_pose_predictor::version_no ( ) const

Version number for I/O.

Definition at line 292 of file mfpf_pose_predictor.cxx.

Member Data Documentation

vnl_vector<double> mfpf_pose_predictor::dp0_ [private]

Offset in regression dp=Rv+dp0.

Definition at line 64 of file mfpf_pose_predictor.h.

unsigned mfpf_pose_predictor::n_pixels_ [private]

Number of pixels in region.

Definition at line 49 of file mfpf_pose_predictor.h.

short mfpf_pose_predictor::norm_method_ [private]

Which normalisation to use (0=none, 1=linear).

Definition at line 55 of file mfpf_pose_predictor.h.

mfpf_pose_type mfpf_pose_predictor::pose_type_ [private]

Which sort of transformation to use.

Definition at line 52 of file mfpf_pose_predictor.h.

vnl_matrix<double> mfpf_pose_predictor::R_ [private]

Matrix used to predict update dp=Rv+dp0.

Definition at line 61 of file mfpf_pose_predictor.h.

double mfpf_pose_predictor::ref_x_ [private]

Kernel reference point (in roi_ni_ x roi_nj_ grid).

Definition at line 36 of file mfpf_pose_predictor.h.

double mfpf_pose_predictor::ref_y_ [private]

Kernel reference point (in roi_ni_ x roi_nj_ grid).

Definition at line 38 of file mfpf_pose_predictor.h.

vcl_vector<mbl_chord> mfpf_pose_predictor::roi_ [private]

Chords defining the region of interest.

Definition at line 41 of file mfpf_pose_predictor.h.

unsigned mfpf_pose_predictor::roi_ni_ [private]

Size of bounding box of region of interest.

Definition at line 44 of file mfpf_pose_predictor.h.

unsigned mfpf_pose_predictor::roi_nj_ [private]

Size of bounding box of region of interest.

Definition at line 46 of file mfpf_pose_predictor.h.

double mfpf_pose_predictor::step_size_ [private]

Size of step between sample points.

Definition at line 33 of file mfpf_pose_predictor.h.

double mfpf_pose_predictor::var_min_ [private]

Lower bound on variance used in normalisation.

Definition at line 58 of file mfpf_pose_predictor.h.

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

contrib/mul/mfpf/mfpf_pose_predictor.h
contrib/mul/mfpf/mfpf_pose_predictor.cxx

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation