mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
66 lines
2.5 KiB
66 lines
2.5 KiB
8 years ago
|
#ifndef P3P_P3P_H
|
||
|
#define P3P_P3P_H
|
||
|
|
||
|
#include "precomp.hpp"
|
||
|
|
||
|
namespace cv {
|
||
|
class ap3p {
|
||
|
private:
|
||
|
template<typename T>
|
||
|
void init_camera_parameters(const cv::Mat &cameraMatrix) {
|
||
|
cx = cameraMatrix.at<T>(0, 2);
|
||
|
cy = cameraMatrix.at<T>(1, 2);
|
||
|
fx = cameraMatrix.at<T>(0, 0);
|
||
|
fy = cameraMatrix.at<T>(1, 1);
|
||
|
}
|
||
|
|
||
|
template<typename OpointType, typename IpointType>
|
||
|
void extract_points(const cv::Mat &opoints, const cv::Mat &ipoints, std::vector<double> &points) {
|
||
|
points.clear();
|
||
|
points.resize(20);
|
||
|
for (int i = 0; i < 4; i++) {
|
||
|
points[i * 5] = ipoints.at<IpointType>(i).x * fx + cx;
|
||
|
points[i * 5 + 1] = ipoints.at<IpointType>(i).y * fy + cy;
|
||
|
points[i * 5 + 2] = opoints.at<OpointType>(i).x;
|
||
|
points[i * 5 + 3] = opoints.at<OpointType>(i).y;
|
||
|
points[i * 5 + 4] = opoints.at<OpointType>(i).z;
|
||
|
}
|
||
|
}
|
||
|
|
||
|
void init_inverse_parameters();
|
||
|
|
||
|
double fx, fy, cx, cy;
|
||
|
double inv_fx, inv_fy, cx_fx, cy_fy;
|
||
|
public:
|
||
|
ap3p() {}
|
||
|
|
||
|
ap3p(double fx, double fy, double cx, double cy);
|
||
|
|
||
|
ap3p(cv::Mat cameraMatrix);
|
||
|
|
||
|
bool solve(cv::Mat &R, cv::Mat &tvec, const cv::Mat &opoints, const cv::Mat &ipoints);
|
||
|
|
||
|
int solve(double R[4][3][3], double t[4][3],
|
||
|
double mu0, double mv0, double X0, double Y0, double Z0,
|
||
|
double mu1, double mv1, double X1, double Y1, double Z1,
|
||
|
double mu2, double mv2, double X2, double Y2, double Z2);
|
||
|
|
||
|
bool solve(double R[3][3], double t[3],
|
||
|
double mu0, double mv0, double X0, double Y0, double Z0,
|
||
|
double mu1, double mv1, double X1, double Y1, double Z1,
|
||
|
double mu2, double mv2, double X2, double Y2, double Z2,
|
||
|
double mu3, double mv3, double X3, double Y3, double Z3);
|
||
|
|
||
|
// This algorithm is from "Tong Ke, Stergios Roumeliotis, An Efficient Algebraic Solution to the Perspective-Three-Point Problem" (Accepted by CVPR 2017)
|
||
|
// See https://arxiv.org/pdf/1701.08237.pdf
|
||
|
// featureVectors: 3 bearing measurements (normalized) stored as column vectors
|
||
|
// worldPoints: Positions of the 3 feature points stored as column vectors
|
||
|
// solutionsR: 4 possible solutions of rotation matrix of the world w.r.t the camera frame
|
||
|
// solutionsT: 4 possible solutions of translation of the world origin w.r.t the camera frame
|
||
|
int computePoses(const double featureVectors[3][3], const double worldPoints[3][3], double solutionsR[4][3][3],
|
||
|
double solutionsT[4][3]);
|
||
|
|
||
|
};
|
||
|
}
|
||
|
#endif //P3P_P3P_H
|