// // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2014, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. /** @file @author Tolga Birdal */ #ifndef __OPENCV_SURFACE_MATCHING_POSE3D_HPP__ #define __OPENCV_SURFACE_MATCHING_POSE3D_HPP__ #include "opencv2/core/cvstd.hpp" // cv::Ptr #include #include namespace cv { namespace ppf_match_3d { //! @addtogroup surface_matching //! @{ class Pose3D; typedef Ptr Pose3DPtr; class PoseCluster3D; typedef Ptr PoseCluster3DPtr; /** * @brief Class, allowing the storage of a pose. The data structure stores both * the quaternions and the matrix forms. It supports IO functionality together with * various helper methods to work with poses * */ class CV_EXPORTS_W Pose3D { public: CV_WRAP Pose3D() { alpha=0; modelIndex=0; numVotes=0; residual = 0; pose = Matx44d::all(0); } CV_WRAP Pose3D(double Alpha, size_t ModelIndex=0, size_t NumVotes=0) { alpha = Alpha; modelIndex = ModelIndex; numVotes = NumVotes; residual=0; pose = Matx44d::all(0); } /** * \brief Updates the pose with the new one * \param [in] NewPose New pose to overwrite */ CV_WRAP void updatePose(Matx44d& NewPose); /** * \brief Updates the pose with the new one */ CV_WRAP void updatePose(Matx33d& NewR, Vec3d& NewT); /** * \brief Updates the pose with the new one, but this time using quaternions to represent rotation */ CV_WRAP void updatePoseQuat(Vec4d& Q, Vec3d& NewT); /** * \brief Left multiplies the existing pose in order to update the transformation * \param [in] IncrementalPose New pose to apply */ CV_WRAP void appendPose(Matx44d& IncrementalPose); CV_WRAP void printPose(); Pose3DPtr clone(); int writePose(FILE* f); int readPose(FILE* f); int writePose(const std::string& FileName); int readPose(const std::string& FileName); virtual ~Pose3D() {} CV_PROP double alpha, residual; CV_PROP size_t modelIndex, numVotes; CV_PROP Matx44d pose; CV_PROP double angle; CV_PROP Vec3d t; CV_PROP Vec4d q; }; /** * @brief When multiple poses (see Pose3D) are grouped together (contribute to the same transformation) * pose clusters occur. This class is a general container for such groups of poses. It is possible to store, * load and perform IO on these poses. */ class CV_EXPORTS_W PoseCluster3D { public: PoseCluster3D() { numVotes=0; id=0; } PoseCluster3D(Pose3DPtr newPose) { poseList.clear(); poseList.push_back(newPose); numVotes=newPose->numVotes; id=0; } PoseCluster3D(Pose3DPtr newPose, int newId) { poseList.push_back(newPose); this->numVotes = newPose->numVotes; this->id = newId; } virtual ~PoseCluster3D() {} /** * \brief Adds a new pose to the cluster. The pose should be "close" to the mean poses * in order to preserve the consistency * \param [in] newPose Pose to add to the cluster */ void addPose(Pose3DPtr newPose); int writePoseCluster(FILE* f); int readPoseCluster(FILE* f); int writePoseCluster(const std::string& FileName); int readPoseCluster(const std::string& FileName); std::vector poseList; size_t numVotes; int id; }; //! @} } // namespace ppf_match_3d } // namespace cv #endif