4 #include "AppearanceModel.h"    19     typedef bool is_kdtree_distance;
    20     typedef double ElementType;
    21     typedef double ResultType;
    22     SPSSDist(
const string &_name, 
const double _c) : 
AMDist(_name), c(_c){}
    23     double operator()(
const double* a, 
const double* b,
    24         size_t size, 
double worst_dist = -1) 
const override;
    25     double accum_dist(
const ElementType& a,
    26         const ElementType& b, 
int)
 const{
    27         return -(2 * a*b + c) / (a*a + b*b + c);
    39     SPSS(
const ParamType *spss_params = 
nullptr, 
const int _n_channels = 1);
    41     double getLikelihood() 
const override;
    44     void initializePixVals(
const Matrix2Xd& init_pts) 
override;
    45     void initializeSimilarity() 
override;
    46     void initializeGrad() 
override;
    50     void updatePixVals(
const Matrix2Xd& curr_pts) 
override;
    52     void updateSimilarity(
bool prereq_only = 
true) 
override;
    53     void updateInitGrad() 
override;
    55     void updateCurrGrad() 
override;
    57     void cmptInitHessian(MatrixXd &d2f_dp2, 
const MatrixXd &dI0_dp) 
override;
    58     void cmptInitHessian(MatrixXd &d2f_dp2, 
const MatrixXd &dI0_dp,
    59         const MatrixXd &d2I0_dp2) 
override;
    61     void cmptCurrHessian(MatrixXd &d2f_dp2, 
const MatrixXd &dIt_dp) 
override;
    62     void cmptCurrHessian(MatrixXd &d2f_dp2, 
const MatrixXd &dIt_dp,
    63         const MatrixXd &d2It_dp2) 
override;
    65     void cmptSelfHessian(MatrixXd &d2f_dp2, 
const MatrixXd &dIt_dp) 
override;
    66     void cmptSelfHessian(MatrixXd &d2f_dp2, 
const MatrixXd &dIt_dp,
    67         const MatrixXd &d2It_dp2) 
override;
    70     const DistType* getDistFunc()
 override{
    71         return new DistType(name, c);
    75     void updateDistFeat(
double* feat_addr) 
override;
    76     const double* getDistFeat()
 override{ 
return getCurrPixVals().data(); }
    83     VectorXd f_vec, f_vec_den;
    84     VectorXd I0_sqr, It_sqr;
 
Definition: AMParams.h:12
 
Sum of Pixelwise Structural Similarity. 
Definition: SPSS.h:34
 
Distance functor for FLANN. 
Definition: AppearanceModel.h:40
 
void initializeDistFeat() override
to be called once during initialization if any of the distance feature functionality is to be used ...
Definition: SPSS.h:74
 
Definition: ImageBase.h:51
 
unsigned int getDistFeatSize() override
returns the size of the distance vector 
Definition: SPSS.h:73
 
void updateDistFeat() override
computes a "distance" vector using the current image patch such that, when the distance vectors corre...
Definition: SPSS.h:77
 
Similarity function that indicates how well a candidate warped patch matches the template. 
Definition: AppearanceModel.h:63
 
void initializeHess() override
even though the Hessian of the error norm w.r.t. 
Definition: SPSS.h:47