multiscale_feature_persistence.h
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00001 /*
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00004  *  Copyright (c) 2011, Alexandru-Eugen Ichim
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00035  *  $Id: multiscale_feature_persistence.h 4864 2012-03-01 01:11:22Z rusu $
00036  */
00037 
00038 #ifndef PCL_MULTISCALE_FEATURE_PERSISTENCE_H_
00039 #define PCL_MULTISCALE_FEATURE_PERSISTENCE_H_
00040 
00041 #include <pcl/pcl_base.h>
00042 #include <pcl/features/feature.h>
00043 #include <pcl/point_representation.h>
00044 #include <pcl/common/norms.h>
00045 #include <list>
00046 
00047 namespace pcl
00048 {
00061   template <typename PointSource, typename PointFeature>
00062   class MultiscaleFeaturePersistence : public PCLBase<PointSource>
00063   {
00064     public:
00065       typedef pcl::PointCloud<PointFeature> FeatureCloud;
00066       typedef typename pcl::PointCloud<PointFeature>::Ptr FeatureCloudPtr;
00067       typedef typename pcl::Feature<PointSource, PointFeature>::Ptr FeatureEstimatorPtr;
00068       typedef boost::shared_ptr<const pcl::PointRepresentation <PointFeature> > FeatureRepresentationConstPtr;
00069 
00070       using pcl::PCLBase<PointSource>::input_;
00071 
00073       MultiscaleFeaturePersistence ();
00074 
00076       void
00077       computeFeaturesAtAllScales ();
00078 
00084       void
00085       determinePersistentFeatures (FeatureCloud &output_features,
00086                                    boost::shared_ptr<std::vector<int> > &output_indices);
00087 
00091       inline void
00092       setScalesVector (std::vector<float> &scale_values) { scale_values_ = scale_values; }
00093 
00095       inline std::vector<float>
00096       getScalesVector () { return scale_values_; }
00097 
00103       inline void
00104       setFeatureEstimator (FeatureEstimatorPtr feature_estimator) { feature_estimator_ = feature_estimator; };
00105 
00107       inline FeatureEstimatorPtr
00108       getFeatureEstimator () { return feature_estimator_; }
00109 
00113       inline void
00114       setPointRepresentation (const FeatureRepresentationConstPtr& feature_representation) { feature_representation_ = feature_representation; }
00115 
00117       inline FeatureRepresentationConstPtr const
00118       getPointRepresentation () { return feature_representation_; }
00119 
00123       inline void
00124       setAlpha (float alpha) { alpha_ = alpha; }
00125 
00127       inline float
00128       getAlpha () { return alpha_; }
00129 
00133       inline void
00134       setDistanceMetric (NormType distance_metric) { distance_metric_ = distance_metric; }
00135 
00137       inline NormType
00138       getDistanceMetric () { return distance_metric_; }
00139 
00140 
00141     private:
00143       bool
00144       initCompute ();
00145 
00146 
00148       virtual void
00149       computeFeatureAtScale (float &scale,
00150                              FeatureCloudPtr &features);
00151 
00152 
00156       float
00157       distanceBetweenFeatures (const std::vector<float> &a,
00158                                const std::vector<float> &b);
00159 
00163       void
00164       calculateMeanFeature ();
00165 
00169       void
00170       extractUniqueFeatures ();
00171 
00172 
00174       std::vector<float> scale_values_;
00175 
00177       float alpha_;
00178 
00180       NormType distance_metric_;
00181 
00183       FeatureEstimatorPtr feature_estimator_;
00184 
00185       std::vector<FeatureCloudPtr> features_at_scale_;
00186       std::vector<std::vector<std::vector<float> > > features_at_scale_vectorized_;
00187       std::vector<float> mean_feature_;
00188       FeatureRepresentationConstPtr feature_representation_;
00189 
00193       std::vector<std::list<size_t> > unique_features_indices_;
00194       std::vector<std::vector<bool> > unique_features_table_;
00195   };
00196 }
00197 
00198 
00199 #endif /* PCL_MULTISCALE_FEATURE_PERSISTENCE_H_ */


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:15:44