/external/opencv3/modules/features2d/src/kaze/ |
TEvolution.h | 26 Mat Lx, Ly; ///< First order spatial derivatives
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nldiffusion_functions.h | 24 void pm_g1(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k); 25 void pm_g2(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k); 26 void weickert_diffusivity(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k); 27 void charbonnier_diffusivity(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k);
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nldiffusion_functions.cpp | 89 * @param Lx First order image derivative in X-direction (horizontal) 94 void pm_g1(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k) { 96 Size sz = Lx.size(); 100 const float* Lx_row = Lx.ptr<float>(y); 116 * @param Lx First order image derivative in X-direction (horizontal) 121 void pm_g2(const cv::Mat &Lx, const cv::Mat& Ly, cv::Mat& dst, float k) { 123 Size sz = Lx.size(); 124 dst.create(sz, Lx.type()); 128 const float *Lx_row = Lx.ptr<float>(y); 139 * @param Lx First order image derivative in X-direction (horizontal 235 const float *lx = Lx.ptr<float>(i); local 249 const float *lx = Lx.ptr<float>(i); local [all...] |
KAZEFeatures.cpp | 61 aux.Lx = Mat::zeros(options_.img_height, options_.img_width, CV_32F); 120 // Compute the Gaussian derivatives Lx and Ly 121 Scharr(evolution_[i].Lsmooth, evolution_[i].Lx, CV_32F, 1, 0, 1, 0, BORDER_DEFAULT); 126 pm_g1(evolution_[i].Lx, evolution_[i].Ly, Lflow, options_.kcontrast); 128 pm_g2(evolution_[i].Lx, evolution_[i].Ly, Lflow, options_.kcontrast); 130 weickert_diffusivity(evolution_[i].Lx, evolution_[i].Ly, Lflow, options_.kcontrast); 204 compute_scharr_derivatives(evolution[i].Lsmooth, evolution[i].Lx, 1, 0, evolution[i].sigma_size); 206 compute_scharr_derivatives(evolution[i].Lx, evolution[i].Lxx, 1, 0, evolution[i].sigma_size); 208 compute_scharr_derivatives(evolution[i].Lx, evolution[i].Lxy, 0, 1, evolution[i].sigma_size); 210 evolution[i].Lx = evolution[i].Lx*((evolution[i].sigma_size)) [all...] |
AKAZEFeatures.cpp | 64 step.Lx = Mat::zeros(level_height, level_width, CV_32F); 133 // Compute the Gaussian derivatives Lx and Ly 134 image_derivatives_scharr(evolution_[i].Lsmooth, evolution_[i].Lx, 1, 0); 140 pm_g1(evolution_[i].Lx, evolution_[i].Ly, Lflow, options_.kcontrast); 143 pm_g2(evolution_[i].Lx, evolution_[i].Ly, Lflow, options_.kcontrast); 146 weickert_diffusivity(evolution_[i].Lx, evolution_[i].Ly, Lflow, options_.kcontrast); 149 charbonnier_diffusivity(evolution_[i].Lx, evolution_[i].Ly, Lflow, options_.kcontrast); 197 compute_scharr_derivatives(evolution[i].Lsmooth, evolution[i].Lx, 1, 0, sigma_size_); 199 compute_scharr_derivatives(evolution[i].Lx, evolution[i].Lxx, 1, 0, sigma_size_); 201 compute_scharr_derivatives(evolution[i].Lx, evolution[i].Lxy, 0, 1, sigma_size_) [all...] |
/external/eigen/Eigen/src/SparseCholesky/ |
SimplicialCholesky_impl.h | 113 Scalar* Lx = m_matrix.valuePtr(); 161 yi = l_ki = yi / Lx[Lp[i]]; 166 y[Li[p]] -= numext::conj(Lx[p]) * yi; 169 Lx[p] = l_ki; 189 Lx[p] = sqrt(d) ;
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/external/eigen/Eigen/src/UmfPackSupport/ |
UmfPackSupport.h | 83 inline int umfpack_get_numeric(int Lp[], int Lj[], double Lx[], int Up[], int Ui[], double Ux[], 86 return umfpack_di_get_numeric(Lp,Lj,Lx,Up,Ui,Ux,P,Q,Dx,do_recip,Rs,Numeric); 89 inline int umfpack_get_numeric(int Lp[], int Lj[], std::complex<double> Lx[], int Up[], int Ui[], std::complex<double> Ux[], 92 double& lx0_real = numext::real_ref(Lx[0]); 95 return umfpack_zi_get_numeric(Lp,Lj,Lx?&lx0_real:0,0,Up,Ui,Ux?&ux0_real:0,0,P,Q,
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/external/opencv/cv/src/ |
cvfundam.cpp | 488 double Lx[] = { X, Y, 1, 0, 0, 0, -x*X, -x*Y, -x }; 493 LtL[j][k] += Lx[j]*Lx[k] + Ly[j]*Ly[k]; [all...] |
/external/opencv3/modules/calib3d/src/ |
fundam.cpp | 163 double Lx[] = { X, Y, 1, 0, 0, 0, -x*X, -x*Y, -x }; 168 LtL[j][k] += Lx[j]*Lx[k] + Ly[j]*Ly[k]; [all...] |
/external/webrtc/data/voice_engine/stereo_rtp_files/ |
stereo_g729_jitter.rtp | 79 ??E??;_RVs =?? < |