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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 
thres()51 template<class T> double thres() { return 1.0; }
thres()52 template<> double thres<float>() { return 1e-5; }
53 
54 class CV_ReprojectImageTo3DTest : public cvtest::BaseTest
55 {
56 public:
CV_ReprojectImageTo3DTest()57     CV_ReprojectImageTo3DTest() {}
~CV_ReprojectImageTo3DTest()58     ~CV_ReprojectImageTo3DTest() {}
59 protected:
60 
61 
run(int)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 
error(const Vec<U,3> & v1,const Vec<V,3> & v2) const97     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 
runCase(int caseId,InT min,InT max)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 
TEST(Calib3d_ReprojectImageTo3D,accuracy)180 TEST(Calib3d_ReprojectImageTo3D, accuracy) { CV_ReprojectImageTo3DTest test; test.safe_run(); }
181