#ifndef __OPENCV_MOTION_ESTIMATORS_HPP__ #define __OPENCV_MOTION_ESTIMATORS_HPP__ #include #include #include "matchers.hpp" #include "util.hpp" struct CameraParams { CameraParams(); CameraParams(const CameraParams& other); const CameraParams& operator =(const CameraParams& other); double focal; cv::Mat M, t; }; class Estimator { public: void operator ()(const std::vector &images, const std::vector &features, const std::vector &pairwise_matches, std::vector &cameras) { estimate(images, features, pairwise_matches, cameras); } protected: virtual void estimate(const std::vector &images, const std::vector &features, const std::vector &pairwise_matches, std::vector &cameras) = 0; }; class HomographyBasedEstimator : public Estimator { public: HomographyBasedEstimator() : is_focals_estimated_(false) {} bool isFocalsEstimated() const { return is_focals_estimated_; } private: void estimate(const std::vector &images, const std::vector &features, const std::vector &pairwise_matches, std::vector &cameras); bool is_focals_estimated_; }; class BundleAdjuster : public Estimator { public: enum { RAY_SPACE, FOCAL_RAY_SPACE }; BundleAdjuster(int cost_space = FOCAL_RAY_SPACE, float dist_thresh = 1.f) : cost_space_(cost_space), dist_thresh_(dist_thresh) {} private: void estimate(const std::vector &images, const std::vector &features, const std::vector &pairwise_matches, std::vector &cameras); void calcError(cv::Mat &err); void calcJacobian(); int num_images_; int total_num_matches_; const cv::Mat *images_; const ImageFeatures *features_; const MatchesInfo *pairwise_matches_; cv::Mat cameras_; std::vector > edges_; int cost_space_; float dist_thresh_; cv::Mat err_, err1_, err2_; cv::Mat J_; }; void waveCorrect(std::vector &rmats); ////////////////////////////////////////////////////////////////////////////// // Auxiliary functions void findMaxSpanningTree(int num_images, const std::vector &pairwise_matches, Graph &span_tree, std::vector ¢ers); #endif // __OPENCV_MOTION_ESTIMATORS_HPP__