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Open Source Computer Vision Library
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61 lines
2.1 KiB
61 lines
2.1 KiB
#ifndef P3P_H |
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#define P3P_H |
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#include "precomp.hpp" |
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class p3p |
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{ |
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public: |
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p3p(double fx, double fy, double cx, double cy); |
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p3p(cv::Mat cameraMatrix); |
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bool solve(cv::Mat& R, cv::Mat& tvec, const cv::Mat& opoints, const cv::Mat& ipoints); |
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int solve(double R[4][3][3], double t[4][3], |
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double mu0, double mv0, double X0, double Y0, double Z0, |
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double mu1, double mv1, double X1, double Y1, double Z1, |
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double mu2, double mv2, double X2, double Y2, double Z2); |
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bool solve(double R[3][3], double t[3], |
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double mu0, double mv0, double X0, double Y0, double Z0, |
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double mu1, double mv1, double X1, double Y1, double Z1, |
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double mu2, double mv2, double X2, double Y2, double Z2, |
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double mu3, double mv3, double X3, double Y3, double Z3); |
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private: |
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template <typename T> |
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void init_camera_parameters(const cv::Mat& cameraMatrix) |
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{ |
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cx = cameraMatrix.at<T> (0, 2); |
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cy = cameraMatrix.at<T> (1, 2); |
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fx = cameraMatrix.at<T> (0, 0); |
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fy = cameraMatrix.at<T> (1, 1); |
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} |
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template <typename OpointType, typename IpointType> |
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void extract_points(const cv::Mat& opoints, const cv::Mat& ipoints, std::vector<double>& points) |
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{ |
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points.clear(); |
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points.resize(20); |
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for(int i = 0; i < 4; i++) |
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{ |
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points[i*5] = ipoints.at<IpointType>(i).x*fx + cx; |
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points[i*5+1] = ipoints.at<IpointType>(i).y*fy + cy; |
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points[i*5+2] = opoints.at<OpointType>(i).x; |
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points[i*5+3] = opoints.at<OpointType>(i).y; |
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points[i*5+4] = opoints.at<OpointType>(i).z; |
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} |
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} |
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void init_inverse_parameters(); |
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int solve_for_lengths(double lengths[4][3], double distances[3], double cosines[3]); |
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bool align(double M_start[3][3], |
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double X0, double Y0, double Z0, |
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double X1, double Y1, double Z1, |
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double X2, double Y2, double Z2, |
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double R[3][3], double T[3]); |
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bool jacobi_4x4(double * A, double * D, double * U); |
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double fx, fy, cx, cy; |
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double inv_fx, inv_fy, cx_fx, cy_fy; |
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}; |
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#endif // P3P_H
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