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     42 
     43 #include "test_precomp.hpp"
     44 #include "opencv2/calib3d/calib3d_c.h"
     45 #include <string>
     46 #include <limits>
     47 
     48 using namespace cv;
     49 using namespace std;
     50 
     51 template<class T> double thres() { return 1.0; }
     52 template<> double thres<float>() { return 1e-5; }
     53 
     54 class CV_ReprojectImageTo3DTest : public cvtest::BaseTest
     55 {
     56 public:
     57     CV_ReprojectImageTo3DTest() {}
     58     ~CV_ReprojectImageTo3DTest() {}
     59 protected:
     60 
     61 
     62     void run(int)
     63     {
     64         ts->set_failed_test_info(cvtest::TS::OK);
     65         int progress = 0;
     66         int caseId = 0;
     67 
     68         progress = update_progress( progress, 1, 14, 0 );
     69         runCase<float, float>(++caseId, -100.f, 100.f);
     70         progress = update_progress( progress, 2, 14, 0 );
     71         runCase<int, float>(++caseId, -100, 100);
     72         progress = update_progress( progress, 3, 14, 0 );
     73         runCase<short, float>(++caseId, -100, 100);
     74         progress = update_progress( progress, 4, 14, 0 );
     75         runCase<unsigned char, float>(++caseId, 10, 100);
     76         progress = update_progress( progress, 5, 14, 0 );
     77 
     78         runCase<float, int>(++caseId, -100.f, 100.f);
     79         progress = update_progress( progress, 6, 14, 0 );
     80         runCase<int, int>(++caseId, -100, 100);
     81         progress = update_progress( progress, 7, 14, 0 );
     82         runCase<short, int>(++caseId, -100, 100);
     83         progress = update_progress( progress, 8, 14, 0 );
     84         runCase<unsigned char, int>(++caseId, 10, 100);
     85         progress = update_progress( progress, 10, 14, 0 );
     86 
     87         runCase<float, short>(++caseId, -100.f, 100.f);
     88         progress = update_progress( progress, 11, 14, 0 );
     89         runCase<int, short>(++caseId, -100, 100);
     90         progress = update_progress( progress, 12, 14, 0 );
     91         runCase<short, short>(++caseId, -100, 100);
     92         progress = update_progress( progress, 13, 14, 0 );
     93         runCase<unsigned char, short>(++caseId, 10, 100);
     94         progress = update_progress( progress, 14, 14, 0 );
     95     }
     96 
     97     template<class U, class V> double error(const Vec<U, 3>& v1, const Vec<V, 3>& v2) const
     98     {
     99         double tmp, sum = 0;
    100         double nsum = 0;
    101         for(int i = 0; i < 3; ++i)
    102         {
    103             tmp = v1[i];
    104             nsum +=  tmp * tmp;
    105 
    106             tmp = tmp - v2[i];
    107             sum += tmp * tmp;
    108 
    109         }
    110         return sqrt(sum)/(sqrt(nsum)+1.);
    111     }
    112 
    113     template<class InT, class OutT> void runCase(int caseId, InT min, InT max)
    114     {
    115         typedef Vec<OutT, 3> out3d_t;
    116 
    117         bool handleMissingValues = (unsigned)theRNG() % 2 == 0;
    118 
    119         Mat_<InT> disp(Size(320, 240));
    120         randu(disp, Scalar(min), Scalar(max));
    121 
    122         if (handleMissingValues)
    123             disp(disp.rows/2, disp.cols/2) = min - 1;
    124 
    125         Mat_<double> Q(4, 4);
    126         randu(Q, Scalar(-5), Scalar(5));
    127 
    128         Mat_<out3d_t> _3dImg(disp.size());
    129 
    130         CvMat cvdisp = disp; CvMat cv_3dImg = _3dImg; CvMat cvQ = Q;
    131         cvReprojectImageTo3D( &cvdisp, &cv_3dImg, &cvQ, handleMissingValues );
    132 
    133         if (numeric_limits<OutT>::max() == numeric_limits<float>::max())
    134             reprojectImageTo3D(disp, _3dImg, Q, handleMissingValues);
    135 
    136         for(int y = 0; y < disp.rows; ++y)
    137             for(int x = 0; x < disp.cols; ++x)
    138             {
    139                 InT d = disp(y, x);
    140 
    141                 double from[4] = {
    142                     static_cast<double>(x),
    143                     static_cast<double>(y),
    144                     static_cast<double>(d),
    145                     1.0,
    146                 };
    147                 Mat_<double> res = Q * Mat_<double>(4, 1, from);
    148                 res /= res(3, 0);
    149 
    150                 out3d_t pixel_exp = *res.ptr<Vec3d>();
    151                 out3d_t pixel_out = _3dImg(y, x);
    152 
    153                 const int largeZValue = 10000; /* see documentation */
    154 
    155                 if (handleMissingValues && y == disp.rows/2 && x == disp.cols/2)
    156                 {
    157                     if (pixel_out[2] == largeZValue)
    158                         continue;
    159 
    160                     ts->printf(cvtest::TS::LOG, "Missing values are handled improperly\n");
    161                     ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
    162                     return;
    163                 }
    164                 else
    165                 {
    166                     double err = error(pixel_out, pixel_exp), t = thres<OutT>();
    167                     if ( err > t )
    168                     {
    169                         ts->printf(cvtest::TS::LOG, "case %d. too big error at (%d, %d): %g vs expected %g: res = (%g, %g, %g, w=%g) vs pixel_out = (%g, %g, %g)\n",
    170                             caseId, x, y, err, t, res(0,0), res(1,0), res(2,0), res(3,0),
    171                             (double)pixel_out[0], (double)pixel_out[1], (double)pixel_out[2]);
    172                         ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
    173                         return;
    174                     }
    175                 }
    176             }
    177     }
    178 };
    179 
    180 TEST(Calib3d_ReprojectImageTo3D, accuracy) { CV_ReprojectImageTo3DTest test; test.safe_run(); }
    181