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