228 lines
8.1 KiB
C++
228 lines
8.1 KiB
C++
/*
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* Software License Agreement (BSD License)
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*
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* Copyright (c) 2012-, Open Perception, Inc.
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of the copyright holder(s) nor the names of its
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* contributors may be used to endorse or promote products derived
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* 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
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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*
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*
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*/
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#pragma once
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//#include <opencv2/core/core.hpp>
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//#include "v4r/TomGine/tgTomGine.h"
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//#include "v4r/NurbsConvertion/NurbsConvertion.h"
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// remove multiple #defines from xlib and OpenMesh
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#undef True
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#undef False
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#undef None
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#undef Status
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#include <pcl/surface/on_nurbs/fitting_surface_pdm.h>
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#include <pcl/surface/on_nurbs/nurbs_data.h>
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#include <pcl/memory.h>
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#include <pcl/pcl_base.h>
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#include <pcl/pcl_macros.h>
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#include <pcl/point_types.h>
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//#include "v4r/NurbsConvertion/DataLoading.h"
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namespace pcl
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{
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namespace on_nurbs
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{
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class SequentialFitter
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{
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public:
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struct Parameter
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{
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int order;
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int refinement;
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int iterationsQuad;
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int iterationsBoundary;
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int iterationsAdjust;
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int iterationsInterior;
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double forceBoundary;
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double forceBoundaryInside;
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double forceInterior;
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double stiffnessBoundary;
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double stiffnessInterior;
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int resolution;
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Parameter (int order = 3, int refinement = 1, int iterationsQuad = 5, int iterationsBoundary = 5,
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int iterationsAdjust = 5, int iterationsInterior = 2, double forceBoundary = 200.0,
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double forceBoundaryInside = 400.0, double forceInterior = 1.0, double stiffnessBoundary = 20.0,
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double stiffnessInterior = 0.1, int resolution = 16);
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};
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private:
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Parameter m_params;
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NurbsDataSurface m_data;
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ON_NurbsSurface m_nurbs;
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ON_3dPoint m_corners[4];
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pcl::PointCloud<pcl::PointXYZRGB>::Ptr m_cloud;
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pcl::PointIndices::Ptr m_boundary_indices;
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pcl::PointIndices::Ptr m_interior_indices;
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Eigen::Matrix4d m_intrinsic;
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Eigen::Matrix4d m_extrinsic;
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bool m_have_cloud;
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bool m_have_corners;
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int m_surf_id;
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void
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compute_quadfit ();
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void
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compute_refinement (FittingSurface* fitting) const;
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void
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compute_boundary (FittingSurface* fitting) const;
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void
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compute_interior (FittingSurface* fitting) const;
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Eigen::Vector2d
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project (const Eigen::Vector3d &pt);
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bool
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is_back_facing (const Eigen::Vector3d &v0,
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const Eigen::Vector3d &v1,
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const Eigen::Vector3d &v2,
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const Eigen::Vector3d &v3);
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public:
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SequentialFitter (Parameter p = Parameter ());
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inline void
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setParams (const Parameter &p)
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{
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m_params = p;
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}
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/** \brief Set input point cloud **/
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void
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setInputCloud (pcl::PointCloud<pcl::PointXYZRGB>::Ptr &pcl_cloud);
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/** \brief Set boundary points of input point cloud **/
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void
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setBoundary (pcl::PointIndices::Ptr &pcl_cloud_indices);
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/** \brief Set interior points of input point cloud **/
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void
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setInterior (pcl::PointIndices::Ptr &pcl_cloud_indices);
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/** \brief Set corner points of input point cloud **/
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void
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setCorners (pcl::PointIndices::Ptr &corners, bool flip_on_demand = true);
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/** \brief Set camera- and world matrices, for projection and back-face detection
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* \param[in] intrinsic The camera projection matrix.
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* \param[in] intrinsic The world matrix.*/
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void
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setProjectionMatrix (const Eigen::Matrix4d &intrinsic,
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const Eigen::Matrix4d &extrinsic);
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/** \brief Compute point cloud and fit (multiple) models */
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ON_NurbsSurface
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compute (bool assemble = false);
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/** \brief Compute boundary points and fit (multiple) models
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* (without interior points - minimal curvature surface) */
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ON_NurbsSurface
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compute_boundary (const ON_NurbsSurface &nurbs);
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/** \brief Compute interior points and fit (multiple) models
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* (without boundary points)*/
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ON_NurbsSurface
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compute_interior (const ON_NurbsSurface &nurbs);
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/** \brief Get resulting NURBS surface. */
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inline ON_NurbsSurface
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getNurbs ()
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{
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return m_nurbs;
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}
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/** \brief Get error of each interior point (L2-norm of point to closest point on surface) and square-error */
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void
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getInteriorError (std::vector<double> &error) const;
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/** \brief Get error of each boundary point (L2-norm of point to closest point on surface) and square-error */
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void
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getBoundaryError (std::vector<double> &error) const;
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/** \brief Get parameter of each interior point */
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void
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getInteriorParams (std::vector<Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > ¶ms) const;
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/** \brief Get parameter of each boundary point */
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void
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getBoundaryParams (std::vector<Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > ¶ms) const;
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/** \brief get the normals to the interior points given by setInterior() */
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void
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getInteriorNormals (std::vector<Eigen::Vector3d, Eigen::aligned_allocator<Eigen::Vector3d> > &normal) const;
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/** \brief get the normals to the boundary points given by setBoundary() */
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void
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getBoundaryNormals (std::vector<Eigen::Vector3d, Eigen::aligned_allocator<Eigen::Vector3d> > &normals) const;
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/** \brief Get the closest point on a NURBS from a point pt in parameter space
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* \param[in] nurbs The NURBS surface
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* \param[in] pt A point in 3D from which the closest point is calculated
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* \param[out] params The closest point on the NURBS in parameter space
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* \param[in] maxSteps Maximum iteration steps
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* \param[in] accuracy Accuracy below which the iterations stop */
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static void
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getClosestPointOnNurbs (ON_NurbsSurface nurbs,
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const Eigen::Vector3d &pt,
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Eigen::Vector2d& params,
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int maxSteps = 100,
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double accuracy = 1e-4);
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/** \brief Growing algorithm (TODO: under construction) */
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ON_NurbsSurface
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grow (float max_dist = 1.0f, float max_angle = M_PI_4, unsigned min_length = 0, unsigned max_length = 10);
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/** \brief Convert point-cloud */
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static unsigned
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PCL2ON (pcl::PointCloud<pcl::PointXYZRGB>::Ptr &pcl_cloud, const pcl::Indices &indices, vector_vec3d &cloud);
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public:
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PCL_MAKE_ALIGNED_OPERATOR_NEW
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};
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}
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}
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