158 lines
5.2 KiB
C++
158 lines
5.2 KiB
C++
/*
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* Software License Agreement (BSD License)
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*
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* Point Cloud Library (PCL) - www.pointclouds.org
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* Copyright (c) 2010-2012, Willow Garage, Inc.
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*
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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 Willow Garage, Inc. 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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* hypothesis.h
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*
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* Created on: Mar 12, 2013
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* Author: papazov
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*/
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#pragma once
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#include <pcl/recognition/ransac_based/model_library.h>
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#include <pcl/recognition/ransac_based/auxiliary.h>
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namespace pcl
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{
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namespace recognition
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{
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class HypothesisBase
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{
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public:
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HypothesisBase (const ModelLibrary::Model* obj_model)
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: obj_model_ (obj_model)
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{}
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HypothesisBase (const ModelLibrary::Model* obj_model, const float* rigid_transform)
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: obj_model_ (obj_model)
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{
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memcpy (rigid_transform_, rigid_transform, 12*sizeof (float));
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}
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virtual ~HypothesisBase (){}
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void
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setModel (const ModelLibrary::Model* model)
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{
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obj_model_ = model;
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}
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public:
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float rigid_transform_[12];
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const ModelLibrary::Model* obj_model_;
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};
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class Hypothesis: public HypothesisBase
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{
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public:
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Hypothesis (const ModelLibrary::Model* obj_model = nullptr)
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: HypothesisBase (obj_model),
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match_confidence_ (-1.0f),
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linear_id_ (-1)
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{
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}
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Hypothesis (const Hypothesis& src)
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: HypothesisBase (src.obj_model_, src.rigid_transform_),
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match_confidence_ (src.match_confidence_),
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explained_pixels_ (src.explained_pixels_)
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{
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}
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~Hypothesis (){}
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const Hypothesis&
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operator =(const Hypothesis& src)
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{
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memcpy (this->rigid_transform_, src.rigid_transform_, 12*sizeof (float));
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this->obj_model_ = src.obj_model_;
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this->match_confidence_ = src.match_confidence_;
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this->explained_pixels_ = src.explained_pixels_;
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return *this;
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}
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void
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setLinearId (int id)
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{
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linear_id_ = id;
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}
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int
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getLinearId () const
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{
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return (linear_id_);
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}
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void
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computeBounds (float bounds[6]) const
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{
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const float *b = obj_model_->getBoundsOfOctreePoints ();
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float p[3];
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// Initialize 'bounds'
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aux::transform (rigid_transform_, b[0], b[2], b[4], p);
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bounds[0] = bounds[1] = p[0];
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bounds[2] = bounds[3] = p[1];
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bounds[4] = bounds[5] = p[2];
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// Expand 'bounds' to contain the other 7 points of the octree bounding box
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aux::transform (rigid_transform_, b[0], b[2], b[5], p); aux::expandBoundingBoxToContainPoint (bounds, p);
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aux::transform (rigid_transform_, b[0], b[3], b[4], p); aux::expandBoundingBoxToContainPoint (bounds, p);
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aux::transform (rigid_transform_, b[0], b[3], b[5], p); aux::expandBoundingBoxToContainPoint (bounds, p);
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aux::transform (rigid_transform_, b[1], b[2], b[4], p); aux::expandBoundingBoxToContainPoint (bounds, p);
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aux::transform (rigid_transform_, b[1], b[2], b[5], p); aux::expandBoundingBoxToContainPoint (bounds, p);
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aux::transform (rigid_transform_, b[1], b[3], b[4], p); aux::expandBoundingBoxToContainPoint (bounds, p);
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aux::transform (rigid_transform_, b[1], b[3], b[5], p); aux::expandBoundingBoxToContainPoint (bounds, p);
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}
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void
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computeCenterOfMass (float center_of_mass[3]) const
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{
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aux::transform (rigid_transform_, obj_model_->getOctreeCenterOfMass (), center_of_mass);
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}
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public:
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float match_confidence_;
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std::set<int> explained_pixels_;
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int linear_id_;
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};
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} // namespace recognition
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} // namespace pcl
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