Class to fit a 2-d Gaussian to small peaks in a polygon drawn on image. More...
#include <sdet_gauss_fit.h>

Public Types | |
| enum | UseGradient |
Public Member Functions | |
| sdet_adjust_lsqr (vcl_vector< vgl_point_3d< double > > const &img_pts, unsigned int num_unknowns, unsigned int num_residuals, int n_peaks) | |
| Constructor. | |
| virtual | ~sdet_adjust_lsqr () |
| virtual void | f (vnl_vector< double > const &x, vnl_vector< double > &fx) |
| The main function. | |
| void | throw_failure () |
| void | clear_failure () |
| virtual void | gradf (vnl_vector< double > const &x, vnl_matrix< double > &jacobian) |
| void | fdgradf (vnl_vector< double > const &x, vnl_matrix< double > &jacobian, double stepsize) |
| void | ffdgradf (vnl_vector< double > const &x, vnl_matrix< double > &jacobian, double stepsize) |
| virtual void | trace (int iteration, vnl_vector< double > const &x, vnl_vector< double > const &fx) |
| double | rms (vnl_vector< double > const &x) |
| unsigned int | get_number_of_unknowns () const |
| unsigned int | get_number_of_residuals () const |
| bool | has_gradient () const |
| bool | vnl_discrete_diff_fwd (vnl_least_squares_function *lsf, double h, vnl_vector< double > const &x, vnl_matrix< double > &J) |
| bool | vnl_discrete_diff_fwd (vnl_least_squares_function *lsf, vnl_vector< double > const &h, vnl_vector< double > const &x, vnl_matrix< double > &J) |
| bool | vnl_discrete_diff_fwd (vnl_least_squares_function *lsf, vnl_vector< double > const &h, vnl_vector< double > const &x, vnl_vector< double > const &y, vnl_matrix< double > &J) |
| bool | vnl_discrete_diff_sym (vnl_least_squares_function *lsf, double h, vnl_vector< double > const &x, vnl_matrix< double > &J) |
| bool | vnl_discrete_diff_sym (vnl_least_squares_function *lsf, vnl_vector< double > const &h, vnl_vector< double > const &x, vnl_matrix< double > &J) |
Public Attributes | |
| no_gradient | |
| use_gradient | |
| bool | failure |
Protected Member Functions | |
| void | init (unsigned int number_of_unknowns, unsigned int number_of_residuals) |
Protected Attributes | |
| vcl_vector< vgl_point_3d < double > > | img_pts_ |
| unsigned | num_pixels_ |
| int | n_peaks_ |
| unsigned int | p_ |
| unsigned int | n_ |
| bool | use_gradient_ |
Class to fit a 2-d Gaussian to small peaks in a polygon drawn on image.
This class started out to fit one peak in a polygon area, but has been expanded to fit up to 4 peaks. The approximate locations of the peaks (1-4) are picked using the pick_point_set() method that was added to the bgui_picker_tableau class.
Definition at line 24 of file sdet_gauss_fit.h.
| sdet_adjust_lsqr::sdet_adjust_lsqr | ( | vcl_vector< vgl_point_3d< double > > const & | img_pts, |
| unsigned int | num_unknowns, | ||
| unsigned int | num_residuals, | ||
| int | n_peaks | ||
| ) |
Constructor.
Definition at line 23 of file sdet_gauss_fit.cxx.
| virtual sdet_adjust_lsqr::~sdet_adjust_lsqr | ( | ) | [inline, virtual] |
Definition at line 33 of file sdet_gauss_fit.h.
| void sdet_adjust_lsqr::f | ( | vnl_vector< double > const & | x, |
| vnl_vector< double > & | fx | ||
| ) | [virtual] |
The main function.
Given the parameter vector x, compute the vector of residuals fx.
Implements vnl_least_squares_function.
Definition at line 53 of file sdet_gauss_fit.cxx.
vcl_vector<vgl_point_3d<double> > sdet_adjust_lsqr::img_pts_ [protected] |
Definition at line 47 of file sdet_gauss_fit.h.
int sdet_adjust_lsqr::n_peaks_ [protected] |
Definition at line 49 of file sdet_gauss_fit.h.
unsigned sdet_adjust_lsqr::num_pixels_ [protected] |
Definition at line 48 of file sdet_gauss_fit.h.
1.7.5.1