452 lines
16 KiB
C
452 lines
16 KiB
C
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// Copyright (c) 2007-09 INRIA Sophia-Antipolis (France).
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// All rights reserved.
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//
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// This file is part of CGAL (www.cgal.org).
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// You can redistribute it and/or modify it under the terms of the GNU
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// General Public License as published by the Free Software Foundation,
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// either version 3 of the License, or (at your option) any later version.
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//
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// Licensees holding a valid commercial license may use this file in
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// accordance with the commercial license agreement provided with the software.
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//
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// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
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// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
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//
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// $URL$
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// $Id$
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// SPDX-License-Identifier: GPL-3.0+
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//
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// Author(s) : Pierre Alliez and Laurent Saboret and Marc Pouget and Frederic Cazals
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#ifndef CGAL_JET_ESTIMATE_NORMALS_H
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#define CGAL_JET_ESTIMATE_NORMALS_H
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#include <CGAL/license/Point_set_processing_3.h>
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#include <CGAL/disable_warnings.h>
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#include <CGAL/trace.h>
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#include <CGAL/Search_traits_3.h>
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#include <CGAL/Orthogonal_k_neighbor_search.h>
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#include <CGAL/Monge_via_jet_fitting.h>
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#include <CGAL/property_map.h>
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#include <CGAL/point_set_processing_assertions.h>
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#include <CGAL/Memory_sizer.h>
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#include <CGAL/function.h>
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#include <CGAL/boost/graph/named_function_params.h>
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#include <CGAL/boost/graph/named_params_helper.h>
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#include <iterator>
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#include <list>
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#ifdef CGAL_LINKED_WITH_TBB
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#include <CGAL/internal/Parallel_callback.h>
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#include <tbb/parallel_for.h>
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#include <tbb/blocked_range.h>
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#include <tbb/scalable_allocator.h>
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#endif // CGAL_LINKED_WITH_TBB
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namespace CGAL {
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// ----------------------------------------------------------------------------
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// Private section
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// ----------------------------------------------------------------------------
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/// \cond SKIP_IN_MANUAL
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namespace internal {
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/// Estimates normal direction using jet fitting
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/// on the k nearest neighbors.
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///
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/// \pre `k >= 2`
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///
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/// @tparam Kernel Geometric traits class.
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/// @tparam Tree KD-tree.
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///
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/// @return Computed normal. Orientation is random.
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template < typename Kernel,
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typename SvdTraits,
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typename Tree
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>
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typename Kernel::Vector_3
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jet_estimate_normal(const typename Kernel::Point_3& query, ///< point to compute the normal at
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Tree& tree, ///< KD-tree
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unsigned int k, ///< number of neighbors
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unsigned int degree_fitting)
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{
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// basic geometric types
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typedef typename Kernel::Point_3 Point;
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// types for K nearest neighbors search
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typedef typename CGAL::Search_traits_3<Kernel> Tree_traits;
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typedef typename CGAL::Orthogonal_k_neighbor_search<Tree_traits> Neighbor_search;
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typedef typename Neighbor_search::iterator Search_iterator;
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// types for jet fitting
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typedef Monge_via_jet_fitting< Kernel,
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Simple_cartesian<double>,
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SvdTraits> Monge_jet_fitting;
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typedef typename Monge_jet_fitting::Monge_form Monge_form;
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// Gather set of (k+1) neighboring points.
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// Perform k+1 queries (as in point set, the query point is
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// output first). Search may be aborted if k is greater
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// than number of input points.
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std::vector<Point> points; points.reserve(k+1);
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Neighbor_search search(tree,query,k+1);
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Search_iterator search_iterator = search.begin();
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unsigned int i;
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for(i=0;i<(k+1);i++)
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{
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if(search_iterator == search.end())
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break; // premature ending
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points.push_back(search_iterator->first);
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search_iterator++;
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}
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CGAL_point_set_processing_precondition(points.size() >= 1);
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// performs jet fitting
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Monge_jet_fitting monge_fit;
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const unsigned int degree_monge = 1; // we seek for normal and not more.
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Monge_form monge_form = monge_fit(points.begin(), points.end(),
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degree_fitting, degree_monge);
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// output normal vector (already normalized in monge form)
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return monge_form.normal_direction();
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}
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#ifdef CGAL_LINKED_WITH_TBB
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template <typename Kernel, typename SvdTraits, typename Tree>
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class Jet_estimate_normals {
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typedef typename Kernel::Point_3 Point;
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typedef typename Kernel::Vector_3 Vector;
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const Tree& tree;
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const unsigned int k;
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const unsigned int degree_fitting;
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const std::vector<Point>& input;
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std::vector<Vector>& output;
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cpp11::atomic<std::size_t>& advancement;
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cpp11::atomic<bool>& interrupted;
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public:
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Jet_estimate_normals(Tree& tree, unsigned int k, std::vector<Point>& points,
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unsigned int degree_fitting, std::vector<Vector>& output,
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cpp11::atomic<std::size_t>& advancement,
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cpp11::atomic<bool>& interrupted)
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: tree(tree), k (k), degree_fitting (degree_fitting), input (points), output (output)
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, advancement (advancement)
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, interrupted (interrupted)
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{ }
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void operator()(const tbb::blocked_range<std::size_t>& r) const
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{
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for( std::size_t i = r.begin(); i != r.end(); ++i)
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{
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if (interrupted)
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break;
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output[i] = CGAL::internal::jet_estimate_normal<Kernel,SvdTraits>(input[i], tree, k, degree_fitting);
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++ advancement;
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}
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}
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};
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#endif // CGAL_LINKED_WITH_TBB
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} /* namespace internal */
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/// \endcond
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// ----------------------------------------------------------------------------
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// Public section
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// ----------------------------------------------------------------------------
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/**
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\ingroup PkgPointSetProcessingAlgorithms
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Estimates normal directions of the range of `points`
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using jet fitting on the k nearest neighbors.
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The output normals are randomly oriented.
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\pre `k >= 2`
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\tparam ConcurrencyTag enables sequential versus parallel algorithm.
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Possible values are `Sequential_tag`
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and `Parallel_tag`.
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\tparam PointRange is a model of `Range`. The value type of
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its iterator is the key type of the named parameter `point_map`.
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\param points input point range.
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\param k number of neighbors
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\param np optional sequence of \ref psp_namedparameters "Named Parameters" among the ones listed below.
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\cgalNamedParamsBegin
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\cgalParamBegin{point_map} a model of `ReadablePropertyMap` with value type `geom_traits::Point_3`.
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If this parameter is omitted, `CGAL::Identity_property_map<geom_traits::Point_3>` is used.\cgalParamEnd
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\cgalParamBegin{normal_map} a model of `ReadWritePropertyMap` with value type
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`geom_traits::Vector_3`.\cgalParamEnd
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\cgalParamBegin{degree_fitting} degree of jet fitting.\cgalParamEnd
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\cgalParamBegin{svd_traits} template parameter for the class `Monge_via_jet_fitting`. If
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\ref thirdpartyEigen "Eigen" 3.2 (or greater) is available and `CGAL_EIGEN3_ENABLED` is defined,
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then `CGAL::Eigen_svd` is used.\cgalParamEnd
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\cgalParamBegin{callback} an instance of
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`cpp11::function<bool(double)>`. It is called regularly when the
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algorithm is running: the current advancement (between 0. and
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1.) is passed as parameter. If it returns `true`, then the
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algorithm continues its execution normally; if it returns
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`false`, the algorithm is stopped and the remaining normals are
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left unchanged.\cgalParamEnd
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\cgalParamBegin{geom_traits} an instance of a geometric traits class, model of `Kernel`\cgalParamEnd
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\cgalNamedParamsEnd
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*/
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template <typename ConcurrencyTag,
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typename PointRange,
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typename NamedParameters
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>
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void
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jet_estimate_normals(
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PointRange& points,
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unsigned int k,
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const NamedParameters& np)
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{
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using boost::choose_param;
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CGAL_TRACE("Calls jet_estimate_normals()\n");
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// basic geometric types
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typedef typename Point_set_processing_3::GetPointMap<PointRange, NamedParameters>::type PointMap;
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typedef typename Point_set_processing_3::GetNormalMap<PointRange, NamedParameters>::type NormalMap;
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typedef typename Point_set_processing_3::GetK<PointRange, NamedParameters>::Kernel Kernel;
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typedef typename GetSvdTraits<NamedParameters>::type SvdTraits;
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CGAL_static_assertion_msg(!(boost::is_same<NormalMap,
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typename Point_set_processing_3::GetNormalMap<PointRange, NamedParameters>::NoMap>::value),
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"Error: no normal map");
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CGAL_static_assertion_msg(!(boost::is_same<SvdTraits,
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typename GetSvdTraits<NamedParameters>::NoTraits>::value),
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"Error: no SVD traits");
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PointMap point_map = choose_param(get_param(np, internal_np::point_map), PointMap());
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NormalMap normal_map = choose_param(get_param(np, internal_np::normal_map), NormalMap());
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unsigned int degree_fitting = choose_param(get_param(np, internal_np::degree_fitting), 2);
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const cpp11::function<bool(double)>& callback = choose_param(get_param(np, internal_np::callback),
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cpp11::function<bool(double)>());
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typedef typename Kernel::Point_3 Point;
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// Input points types
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typedef typename boost::property_traits<NormalMap>::value_type Vector;
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// types for K nearest neighbors search structure
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typedef typename CGAL::Search_traits_3<Kernel> Tree_traits;
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typedef typename CGAL::Orthogonal_k_neighbor_search<Tree_traits> Neighbor_search;
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typedef typename Neighbor_search::Tree Tree;
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// precondition: at least one element in the container.
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// to fix: should have at least three distinct points
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// but this is costly to check
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CGAL_point_set_processing_precondition(points.begin() != points.end());
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// precondition: at least 2 nearest neighbors
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CGAL_point_set_processing_precondition(k >= 2);
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std::size_t memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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CGAL_TRACE(" Creates KD-tree\n");
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typename PointRange::iterator it;
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// Instanciate a KD-tree search.
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// Note: We have to convert each input iterator to Point_3.
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std::vector<Point> kd_tree_points;
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for(it = points.begin(); it != points.end(); it++)
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kd_tree_points.push_back(get(point_map, *it));
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Tree tree(kd_tree_points.begin(), kd_tree_points.end());
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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CGAL_TRACE(" Computes normals\n");
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// iterate over input points, compute and output normal
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// vectors (already normalized)
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#ifndef CGAL_LINKED_WITH_TBB
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CGAL_static_assertion_msg (!(boost::is_convertible<ConcurrencyTag, Parallel_tag>::value),
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"Parallel_tag is enabled but TBB is unavailable.");
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#else
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if (boost::is_convertible<ConcurrencyTag,Parallel_tag>::value)
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{
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internal::Point_set_processing_3::Parallel_callback
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parallel_callback (callback, kd_tree_points.size());
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std::vector<Vector> normals (kd_tree_points.size (),
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CGAL::NULL_VECTOR);
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CGAL::internal::Jet_estimate_normals<Kernel, SvdTraits, Tree>
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f (tree, k, kd_tree_points, degree_fitting, normals,
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parallel_callback.advancement(),
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parallel_callback.interrupted());
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tbb::parallel_for(tbb::blocked_range<size_t>(0, kd_tree_points.size ()), f);
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std::size_t i = 0;
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for(it = points.begin(); it != points.end(); ++ it, ++ i)
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if (normals[i] != CGAL::NULL_VECTOR)
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put (normal_map, *it, normals[i]);
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parallel_callback.join();
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}
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else
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#endif
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{
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std::size_t nb = 0;
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for(it = points.begin(); it != points.end(); it++, ++ nb)
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{
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Vector normal = internal::jet_estimate_normal<Kernel,SvdTraits,Tree>(
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get(point_map,*it),
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tree, k, degree_fitting);
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put(normal_map, *it, normal); // normal_map[it] = normal
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if (callback && !callback ((nb+1) / double(kd_tree_points.size())))
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break;
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}
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}
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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CGAL_TRACE("End of jet_estimate_normals()\n");
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}
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/// \cond SKIP_IN_MANUAL
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// variant with default NP
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template <typename ConcurrencyTag,
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typename PointRange>
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void
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jet_estimate_normals(
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PointRange& points,
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unsigned int k) ///< number of neighbors.
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{
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jet_estimate_normals<ConcurrencyTag>
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(points, k, CGAL::Point_set_processing_3::parameters::all_default(points));
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}
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#ifndef CGAL_NO_DEPRECATED_CODE
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// deprecated API
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template <typename ConcurrencyTag,
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typename ForwardIterator,
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typename PointMap,
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typename NormalMap,
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typename Kernel,
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typename SvdTraits
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>
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CGAL_DEPRECATED_MSG("you are using the deprecated V1 API of CGAL::jet_estimate_normals(), please update your code")
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void
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jet_estimate_normals(
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ForwardIterator first, ///< iterator over the first input point.
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ForwardIterator beyond, ///< past-the-end iterator over the input points.
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PointMap point_map, ///< property map: value_type of ForwardIterator -> Point_3.
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NormalMap normal_map, ///< property map: value_type of ForwardIterator -> Vector_3.
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unsigned int k, ///< number of neighbors.
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const Kernel& /*kernel*/, ///< geometric traits.
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unsigned int degree_fitting = 2) ///< fitting degree
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{
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CGAL::Iterator_range<ForwardIterator> points (first, beyond);
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return jet_estimate_normals<ConcurrencyTag>
|
||
|
|
(points,
|
||
|
|
k,
|
||
|
|
CGAL::parameters::point_map (point_map).
|
||
|
|
normal_map (normal_map).
|
||
|
|
degree_fitting (degree_fitting).
|
||
|
|
geom_traits(Kernel()));
|
||
|
|
}
|
||
|
|
|
||
|
|
#if defined(CGAL_EIGEN3_ENABLED) || defined(CGAL_LAPACK_ENABLED)
|
||
|
|
// deprecated API
|
||
|
|
template <typename ConcurrencyTag,
|
||
|
|
typename ForwardIterator,
|
||
|
|
typename PointMap,
|
||
|
|
typename NormalMap,
|
||
|
|
typename Kernel
|
||
|
|
>
|
||
|
|
CGAL_DEPRECATED_MSG("you are using the deprecated V1 API of CGAL::jet_estimate_normals(), please update your code")
|
||
|
|
void
|
||
|
|
jet_estimate_normals(
|
||
|
|
ForwardIterator first,
|
||
|
|
ForwardIterator beyond,
|
||
|
|
PointMap point_map,
|
||
|
|
NormalMap normal_map,
|
||
|
|
unsigned int k,
|
||
|
|
const Kernel& kernel,
|
||
|
|
unsigned int degree_fitting = 2)
|
||
|
|
{
|
||
|
|
#ifdef CGAL_EIGEN3_ENABLED
|
||
|
|
typedef Eigen_svd SvdTraits;
|
||
|
|
#else
|
||
|
|
typedef Lapack_svd SvdTraits;
|
||
|
|
#endif
|
||
|
|
|
||
|
|
CGAL::Iterator_range<ForwardIterator> points (first, beyond);
|
||
|
|
return jet_estimate_normals<ConcurrencyTag>
|
||
|
|
(points,
|
||
|
|
k,
|
||
|
|
CGAL::parameters::point_map (point_map).
|
||
|
|
normal_map (normal_map).
|
||
|
|
degree_fitting (degree_fitting).
|
||
|
|
svd_traits (SvdTraits()).
|
||
|
|
geom_traits(kernel));
|
||
|
|
}
|
||
|
|
|
||
|
|
// deprecated API
|
||
|
|
template <typename ConcurrencyTag,
|
||
|
|
typename ForwardIterator,
|
||
|
|
typename PointMap,
|
||
|
|
typename NormalMap
|
||
|
|
>
|
||
|
|
CGAL_DEPRECATED_MSG("you are using the deprecated V1 API of CGAL::jet_estimate_normals(), please update your code")
|
||
|
|
void
|
||
|
|
jet_estimate_normals(
|
||
|
|
ForwardIterator first, ///< iterator over the first input point.
|
||
|
|
ForwardIterator beyond, ///< past-the-end iterator over the input points.
|
||
|
|
PointMap point_map, ///< property map: value_type of ForwardIterator -> Point_3.
|
||
|
|
NormalMap normal_map, ///< property map: value_type of ForwardIterator -> Vector_3.
|
||
|
|
unsigned int k, ///< number of neighbors.
|
||
|
|
unsigned int degree_fitting = 2)
|
||
|
|
{
|
||
|
|
CGAL::Iterator_range<ForwardIterator> points (first, beyond);
|
||
|
|
return jet_estimate_normals<ConcurrencyTag>
|
||
|
|
(points,
|
||
|
|
k,
|
||
|
|
CGAL::parameters::point_map (point_map).
|
||
|
|
normal_map (normal_map).
|
||
|
|
degree_fitting (degree_fitting));
|
||
|
|
}
|
||
|
|
|
||
|
|
// deprecated API
|
||
|
|
template <typename ConcurrencyTag,
|
||
|
|
typename ForwardIterator,
|
||
|
|
typename NormalMap
|
||
|
|
>
|
||
|
|
CGAL_DEPRECATED_MSG("you are using the deprecated V1 API of CGAL::jet_estimate_normals(), please update your code")
|
||
|
|
void
|
||
|
|
jet_estimate_normals(
|
||
|
|
ForwardIterator first, ///< iterator over the first input point.
|
||
|
|
ForwardIterator beyond, ///< past-the-end iterator over the input points.
|
||
|
|
NormalMap normal_map, ///< property map: value_type of ForwardIterator -> Vector_3.
|
||
|
|
unsigned int k, ///< number of neighbors.
|
||
|
|
unsigned int degree_fitting = 2)
|
||
|
|
{
|
||
|
|
CGAL::Iterator_range<ForwardIterator> points (first, beyond);
|
||
|
|
return jet_estimate_normals<ConcurrencyTag>
|
||
|
|
(points,
|
||
|
|
k,
|
||
|
|
CGAL::parameters::normal_map (normal_map).
|
||
|
|
degree_fitting (degree_fitting));
|
||
|
|
}
|
||
|
|
#endif // CGAL Eigen / Lapack
|
||
|
|
#endif // CGAL_NO_DEPRECATED_CODE
|
||
|
|
/// \endcond
|
||
|
|
|
||
|
|
} //namespace CGAL
|
||
|
|
|
||
|
|
#include <CGAL/enable_warnings.h>
|
||
|
|
|
||
|
|
#endif // CGAL_JET_ESTIMATE_NORMALS_H
|