Mat _new_cam0 = zero_new_cam ? test_mat[INPUT][0] : test_mat[INPUT][3];
Mat _mapx(img_size, CV_32F), _mapy(img_size, CV_32F);
- double a[9], d[5]={0,0,0,0,0}, R[9]={1, 0, 0, 0, 1, 0, 0, 0, 1}, a1[9];
+ double a[9], d[5]={0., 0., 0., 0. , 0.}, R[9]={1., 0., 0., 0., 1., 0., 0., 0., 1.}, a1[9];
Mat _a(3, 3, CV_64F, a), _a1(3, 3, CV_64F, a1);
Mat _d(_d0.rows,_d0.cols, CV_MAKETYPE(CV_64F,_d0.channels()),d);
Mat _R(3, 3, CV_64F, R);
// Undistort
double x2 = x*x, y2 = y*y;
double r2 = x2 + y2;
- double cdist = 1./(1 + (d[0] + (d[1] + d[4]*r2)*r2)*r2); // (1 + (d[5] + (d[6] + d[7]*r2)*r2)*r2) == 1 as d[5-7]=0;
- double x_ = x*cdist - d[2]*2*x*y + d[3]*(r2 + 2*x2);
- double y_ = y*cdist - d[3]*2*x*y + d[2]*(r2 + 2*y2);
+ double cdist = 1./(1. + (d[0] + (d[1] + d[4]*r2)*r2)*r2); // (1. + (d[5] + (d[6] + d[7]*r2)*r2)*r2) == 1 as d[5-7]=0;
+ double x_ = (x - (d[2]*2.*x*y + d[3]*(r2 + 2.*x2)))*cdist;
+ double y_ = (y - (d[3]*2.*x*y + d[2]*(r2 + 2.*y2)))*cdist;
// Rectify
double X = R[0]*x_ + R[1]*y_ + R[2];
EXPECT_LE(cvtest::norm(dst, mesh_uv, NORM_INF), 1e-3);
}
+TEST(Calib3d_initInverseRectificationMap, regression_20165)
+{
+ Size size_w_h(1280, 800);
+ Mat dst(size_w_h, CV_32FC2); // Reference for validation
+ Mat mapxy; // Output of initInverseRectificationMap()
+
+ // Camera Matrix
+ double k[9]={
+ 1.5393951443032472e+03, 0., 6.7491727003047140e+02,
+ 0., 1.5400748240626747e+03, 5.1226968329123963e+02,
+ 0., 0., 1.
+ };
+ Mat _K(3, 3, CV_64F, k);
+
+ // Distortion
+ // double d[5]={0,0,0,0,0}; // Zero Distortion
+ double d[5]={ // Non-zero distortion
+ -3.4134571357400023e-03, 2.9733267766101856e-03, // K1, K2
+ 3.6653586399031184e-03, -3.1960714017365702e-03, // P1, P2
+ 0. // K3
+ };
+ Mat _d(1, 5, CV_64F, d);
+
+ // Rotation
+ //double R[9]={1., 0., 0., 0., 1., 0., 0., 0., 1.}; // Identity transform (none)
+ double R[9]={ // Random transform
+ 9.6625486010428052e-01, 1.6055789378989216e-02, 2.5708706103628531e-01,
+ -8.0300261706161002e-03, 9.9944797497929860e-01, -3.2237617614807819e-02,
+ -2.5746274294459848e-01, 2.9085338870243265e-02, 9.6585039165403186e-01
+ };
+ Mat _R(3, 3, CV_64F, R);
+
+ // --- Validation --- //
+ initInverseRectificationMap(_K, _d, _R, _K, size_w_h, CV_32FC2, mapxy, noArray());
+
+ // Copy camera matrix
+ double fx, fy, cx, cy, ifx, ify, cxn, cyn;
+ fx = k[0]; fy = k[4]; cx = k[2]; cy = k[5];
+
+ // Copy new camera matrix
+ ifx = k[0]; ify = k[4]; cxn = k[2]; cyn = k[5];
+
+ // Distort Points
+ for( int v = 0; v < size_w_h.height; v++ )
+ {
+ for( int u = 0; u < size_w_h.width; u++ )
+ {
+ // Convert from image to pin-hole coordinates
+ double x = (u - cx)/fx;
+ double y = (v - cy)/fy;
+
+ // Undistort
+ double x2 = x*x, y2 = y*y;
+ double r2 = x2 + y2;
+ double cdist = 1./(1. + (d[0] + (d[1] + d[4]*r2)*r2)*r2); // (1. + (d[5] + (d[6] + d[7]*r2)*r2)*r2) == 1 as d[5-7]=0;
+ double x_ = (x - (d[2]*2.*x*y + d[3]*(r2 + 2.*x2)))*cdist;
+ double y_ = (y - (d[3]*2.*x*y + d[2]*(r2 + 2.*y2)))*cdist;
+
+ // Rectify
+ double X = R[0]*x_ + R[1]*y_ + R[2];
+ double Y = R[3]*x_ + R[4]*y_ + R[5];
+ double Z = R[6]*x_ + R[7]*y_ + R[8];
+ double x__ = X/Z;
+ double y__ = Y/Z;
+
+ // Convert from pin-hole to image coordinates
+ dst.at<Vec2f>(v, u) = Vec2f((float)(x__*ifx + cxn), (float)(y__*ify + cyn));
+ }
+ }
+
+ // Check Result
+ EXPECT_LE(cvtest::norm(dst, mapxy, NORM_INF), 2e-1);
+}
+
}} // namespace