Emplace a new point in the cloud, at the end of the container. Are you sure you want to create this branch? Definition at line 596 of file point_cloud.h. Definition at line 713 of file point_cloud.h. We need also to make the linker know about Which pcl header file needs to be included for this one? Is Energy "equal" to the curvature of Space-Time? And this results in the compile error: "taking address of temporary". Definition at line 201 of file point_cloud.h. // Create the normal estimation class, and pass the input dataset to it pcl::NormalEstimation<pcl::PointXYZ, pcl::Normal> ne; ne.setInputCloud (cloud_downsampled); // Pass the original data (before downsampling) as the search surface ne.setSearchSurface (cloud); // Create an empty kdtree representation, and pass it to the normal estimation object. How can I save multiple Pointclouds inside a vector when filling said vector with a for loop? What I'am doing wrong? non-obvious repository (let us say in Documents for evils) then you can Link Find the Run Pipeline button for the Release pipeline. Definition at line 548 of file point_cloud.h. Create a pcl::PointCloud::Ptr from a pcl::PointCloud. Definition at line 623 of file point_cloud.h. What I'am doing wrong? To achieve this, we will first calculate the maximum value of the x, y and z vectors and . found libraries are referred to using PCL_LIBRARIES variable, all Thanks for contributing an answer to Stack Overflow! Find centralized, trusted content and collaborate around the technologies you use most. The system can be configured to provide both 3D point . Definition at line 532 of file point_cloud.h. I want to open all the clouds and save them in a vector/array. For example, to create a point cloud that holds 4 random XYZ data points, use: pcl::PointCloud<pcl::PointXYZ> cloud; Definition at line 436 of file point_cloud.h. Both of the below answers are correct, I have awarded Jonathon the correct tick as he got in first this time. For example, to create a point cloud that holds 4 random XYZ data points, use: By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. PCL How to create a Point Cloud array/vector? machine. pcd_write.cpp. Ready to optimize your JavaScript with Rust? Sensor acquisition pose (origin/translation). What is this fallacy: Perfection is impossible, therefore imperfection should be overlooked. rev2022.12.9.43105. When you are using such targets they are called imported By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. [3]: A standalone, large scale, open project for 2D/3D image processing. Copy the cloud to the heap and return a smart pointer Note that deep copy is performed, so avoid using this function on non-empty clouds. Windows platform and blank on UNIX) and the permissions. Definition at line 793 of file point_cloud.h. The executable we are building makes calls to PCL functions. Definition at line 531 of file point_cloud.h. named pcd_write_test from one single source file Is there any way of using Text with spritewidget in Flutter? Can a prospective pilot be negated their certification because of too big/small hands? pcl::PointCloud to pcl::PointCloud::Ptr (Covert poincloud to ptr), Allow non-GPL plugins in a GPL main program. I would like to know if it is possible to take this point cloud, and make a pointer to a copy of it. The first file is the header that contains the definitions for PCD I/O operations, and second one contains definitions for several point type structures, including pcl::PointXYZ that we will use. Open the sln file, and build your project! This tutorial explains how to use PCL in your own projects. pcl makes pointers to clouds like this: pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudPTR (new pcl::PointCloud<pcl::PointXYZRGB>) For implementing your own visualizers, take a look at the tests and examples accompanying the library. Definition at line 523 of file point_cloud.h. rev2022.12.9.43105. We are financially supported by a consortium of commercial companies, with our own non-profit organization, Open Perception. We are requesting to find the PCL package at minimum version 1.3. Selecting image from Gallery or Camera in Flutter, Firestore: How can I force data synchronization when coming back online, Show Local Images and Server Images ( with Caching) in Flutter. Sudo update-grub does not work (single boot Ubuntu 22.04). It contains information about the acquisition time. Definition at line 663 of file point_cloud.h. How to show AlertDialog over WebviewScaffold in Flutter? Definition at line 434 of file point_cloud.h. Definition at line 537 of file point_cloud.h. True if no points are invalid (e.g., have NaN or Inf values in any of their floating point fields). References pcl::PointCloud< PointT >::begin(), pcl::PointCloud< PointT >::end(), pcl::PointCloud< PointT >::header, pcl::PointCloud< PointT >::height, pcl::PointCloud< PointT >::insert(), pcl::PointCloud< PointT >::is_dense, pcl::PointCloud< PointT >::size(), pcl::PCLHeader::stamp, and pcl::PointCloud< PointT >::width. The rubber protection cover does not pass through the hole in the rim. Referenced by pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::getEdgeIndex(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::getFaceIndex(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::getHalfEdgeIndex(), and pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::getVertexIndex(). Can a prospective pilot be negated their certification because of too big/small hands? I have a function: which returns a point cloud. Definition at line 462 of file point_cloud.h. More PointCloud represents the base class in PCL for storing collections of 3D points. More. the input point cloud dataset containing the XYZ data [in] normals: the input point cloud dataset containing the normal data [in] pcs: the input point cloud dataset containing the principal curvatures data [in] level: display only every level'th point. Definition at line 448 of file point_cloud.h. folder. Definition at line 276 of file point_cloud.h. Should I give a brutally honest feedback on course evaluations? The point cloud width (if organized as an image-structure). Referenced by pcl::transformPointCloud(). Referenced by pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::approximatePolygon2D(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::computeTracking(), pcl::io::OrganizedConversion< PointT, false >::convert(), pcl::io::OrganizedConversion< PointT, true >::convert(), pcl::TSDFVolume< VoxelT, WeightT >::convertToTsdfCloud(), pcl::copyPointCloud(), pcl::SUSANKeypoint< PointInT, PointOutT, NormalT, IntensityT >::detectKeypoints(), pcl::common::duplicateColumns(), pcl::common::duplicateRows(), pcl::common::expandColumns(), pcl::common::expandRows(), pcl::VoxelGridCovariance< PointT >::getDisplayCloud(), pcl::common::mirrorColumns(), pcl::common::mirrorRows(), pcl::MarchingCubes< PointNT >::performReconstruction(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::transformPointCloud(), and pcl::transformPointCloudWithNormals(). Thanks for contributing an answer to Stack Overflow! Making statements based on opinion; back them up with references or personal experience. How to prevent keyboard from dismissing on pressing submit key in flutter? We are a young startup in Vietnam who wants to bring autonomous mobile robots that make practical sense to warehousing, logistics, and agriculture. Referenced by pcl::PointCloud< PointT >::concatenate(), pcl::common::duplicateColumns(), pcl::common::duplicateRows(), pcl::common::expandColumns(), pcl::common::expandRows(), pcl::common::mirrorColumns(), pcl::common::mirrorRows(), and pcl::MovingLeastSquares< PointInT, PointOutT >::performProcessing(). The class is templated, which means you need to specify the type of data that it should contain. Are defenders behind an arrow slit attackable? Revision d9831313. Definition at line 534 of file point_cloud.h. MOSFET is getting very hot at high frequency PWM. Referenced by pcl::visualization::ImageViewer::addMask(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::ImageViewer::addRectangle(), pcl::visualization::ImageViewer::addRGBImage(), pcl::Registration< PointSource, PointTarget, Scalar >::align(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::GridMinimum< PointT >::applyFilter(), pcl::LocalMaximum< PointT >::applyFilter(), pcl::MedianFilter< PointT >::applyFilter(), pcl::ProjectInliers< PointT >::applyFilter(), pcl::SamplingSurfaceNormal< PointT >::applyFilter(), pcl::ShadowPoints< PointT, NormalT >::applyFilter(), pcl::UniformSampling< PointT >::applyFilter(), pcl::VoxelGrid< PointT >::applyFilter(), pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::LineRGBD< PointXYZT, PointRGBT >::applyProjectiveDepthICPOnDetections(), pcl::Edge< PointInT, PointOutT >::canny(), pcl::OrganizedEdgeBase< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::compute(), pcl::OrganizedEdgeFromRGBNormals< PointT, PointNT, PointLT >::compute(), pcl::DisparityMapConverter< PointT >::compute(), pcl::Feature< PointInT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::filters::Pyramid< PointT >::compute(), pcl::features::computeApproximateNormals(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::GRSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeFeature(), pcl::RIFTEstimation< PointInT, GradientT, PointOutT >::computeFeature(), pcl::RSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradientsSobel(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::PointCloud< PointT >::concatenate(), pcl::concatenateFields(), pcl::io::OrganizedConversion< PointT, false >::convert(), pcl::io::OrganizedConversion< PointT, true >::convert(), pcl::UnaryClassifier< PointT >::convertCloud(), pcl::gpu::kinfuLS::StandaloneMarchingCubes< PointT >::convertTrianglesToMesh(), pcl::GaussianKernel::convolve(), pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::convolve(), pcl::GaussianKernel::convolveCols(), pcl::GaussianKernel::convolveRows(), pcl::copyPointCloud(), pcl::common::deleteCols(), pcl::common::deleteRows(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::Edge< ImageType, ImageType >::detectEdgeCanny(), pcl::Edge< PointInT, PointOutT >::detectEdgeCanny(), pcl::Edge< PointInT, PointOutT >::detectEdgePrewitt(), pcl::Edge< ImageType, ImageType >::detectEdgeRoberts(), pcl::Edge< PointInT, PointOutT >::detectEdgeSobel(), pcl::SUSANKeypoint< PointInT, PointOutT, NormalT, IntensityT >::detectKeypoints(), pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::Morphology< PointT >::dilationBinary(), pcl::Morphology< PointT >::dilationGray(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::downsample(), pcl::common::duplicateColumns(), pcl::common::duplicateRows(), pcl::Morphology< PointT >::erosionBinary(), pcl::Morphology< PointT >::erosionGray(), pcl::estimateProjectionMatrix(), pcl::common::expandColumns(), pcl::common::expandRows(), pcl::io::PointCloudImageExtractor< PointT >::extract(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::extractEdges(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::extractEdges(), pcl::io::PointCloudImageExtractorWithScaling< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromNormalField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromRGBField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromLabelField< PointT >::extractImpl(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::extractRGBFromPointCloud(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::occlusion_reasoning::filter(), pcl::fromPCLPointCloud2(), pcl::PCDWriter::generateHeader(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::MinCutSegmentation< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::features::ISMVoteList< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::occlusion_reasoning::getOccludedCloud(), pcl::RFFaceDetectorTrainer::getVotes(), pcl::RFFaceDetectorTrainer::getVotes2(), pcl::filters::Convolution< PointIn, PointOut >::initCompute(), pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::insertRange(), pcl::Morphology< PointT >::intersectionBinary(), pcl::UnaryClassifier< PointT >::kmeansClustering(), pcl::common::mirrorColumns(), pcl::common::mirrorRows(), pcl::operator<<(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction2D(), pcl::ConvexHull< PointInT >::performReconstruction3D(), pcl::PointCloudDepthAndRGBtoXYZRGBA(), pcl::PointCloudRGBtoI(), pcl::io::pointCloudTovtkStructuredGrid(), pcl::PointCloudXYZHSVtoXYZRGB(), pcl::PointCloudXYZRGBAtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZI(), pcl::CloudSurfaceProcessing< PointInT, PointOutT >::process(), pcl::BilateralUpsampling< PointInT, PointOutT >::process(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::ColorGradientModality< PointInT >::processInputData(), pcl::SampleConsensusModelCircle2D< PointT >::projectPoints(), pcl::SampleConsensusModelCircle3D< PointT >::projectPoints(), pcl::SampleConsensusModelCone< PointT, PointNT >::projectPoints(), pcl::SampleConsensusModelCylinder< PointT, PointNT >::projectPoints(), pcl::SampleConsensusModelEllipse3D< PointT >::projectPoints(), pcl::SampleConsensusModelLine< PointT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelSphere< PointT >::projectPoints(), pcl::SampleConsensusModelStick< PointT >::projectPoints(), pcl::PCDGrabber< PointT >::publish(), pcl::outofcore::OutofcoreOctreeBaseNode< ContainerT, PointT >::queryBBIncludes(), pcl::io::LZFDepth16ImageReader::read(), pcl::io::LZFRGB24ImageReader::read(), pcl::io::LZFYUV422ImageReader::read(), pcl::io::LZFBayer8ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::io::LZFRGB24ImageReader::readOMP(), pcl::io::LZFYUV422ImageReader::readOMP(), pcl::io::LZFBayer8ImageReader::readOMP(), pcl::SurfaceReconstruction< PointInT >::reconstruct(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::SegmentDifferences< PointT >::segment(), pcl::visualization::ImageViewer::showCorrespondences(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::Morphology< PointT >::subtractionBinary(), pcl::PointCloud< PointT >::swap(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::swapDimensions(), pcl::toPCLPointCloud2(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::track(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::Morphology< PointT >::unionBinary(), pcl::io::vtkPolyDataToPointCloud(), pcl::io::vtkStructuredGridToPointCloud(), and pcl::PCDWriter::writeASCII(). Definition at line 214 of file point_cloud.h. PCL_INCLUDE_DIRS, contains exactly what we need, thus we ask cmake methods we are calling. Referenced by pcl::Registration< PointSource, PointTarget, Scalar >::align(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::ShadowPoints< PointT, NormalT >::applyFilter(), pcl::UniformSampling< PointT >::applyFilter(), pcl::VoxelGrid< PointT >::applyFilter(), pcl::approximatePolygon(), pcl::Edge< PointInT, PointOutT >::canny(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::cleanUp(), pcl::OrganizedEdgeBase< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::compute(), pcl::OrganizedEdgeFromRGBNormals< PointT, PointNT, PointLT >::compute(), pcl::DisparityMapConverter< PointT >::compute(), pcl::Feature< PointInT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::features::computeApproximateNormals(), pcl::NormalBasedSignatureEstimation< PointT, PointNT, PointFeature >::computeFeature(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::GRSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::concatenateFields(), pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::convolve(), pcl::GaussianKernel::convolveCols(), pcl::GaussianKernel::convolveRows(), pcl::copyPointCloud(), pcl::demeanPointCloud(), pcl::Edge< PointInT, PointOutT >::detectEdgeCanny(), pcl::Edge< PointInT, PointOutT >::detectEdgePrewitt(), pcl::Edge< PointInT, PointOutT >::detectEdgeSobel(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::Morphology< PointT >::dilationBinary(), pcl::Morphology< PointT >::dilationGray(), pcl::Morphology< PointT >::erosionBinary(), pcl::Morphology< PointT >::erosionGray(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::extractEdges(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::extractEdges(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::fromPCLPointCloud2(), pcl::SampleConsensusPrerejective< PointSource, PointTarget, FeatureT >::getFitness(), pcl::filters::Convolution< PointIn, PointOut >::initCompute(), pcl::Morphology< PointT >::intersectionBinary(), pcl::isPointIn2DPolygon(), pcl::SupervoxelClustering< PointT >::makeSupervoxelNormalCloud(), pcl::search::Search< PointT >::nearestKSearchT(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::Poisson< PointNT >::performReconstruction(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction2D(), pcl::ConvexHull< PointInT >::performReconstruction3D(), pcl::ColorGradientModality< PointInT >::processInputData(), pcl::SampleConsensusModelCircle2D< PointT >::projectPoints(), pcl::SampleConsensusModelCircle3D< PointT >::projectPoints(), pcl::SampleConsensusModelCone< PointT, PointNT >::projectPoints(), pcl::SampleConsensusModelCylinder< PointT, PointNT >::projectPoints(), pcl::SampleConsensusModelEllipse3D< PointT >::projectPoints(), pcl::SampleConsensusModelLine< PointT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelSphere< PointT >::projectPoints(), pcl::SampleConsensusModelStick< PointT >::projectPoints(), pcl::search::Search< PointT >::radiusSearchT(), pcl::io::LZFDepth16ImageReader::read(), pcl::io::LZFRGB24ImageReader::read(), pcl::io::LZFYUV422ImageReader::read(), pcl::io::LZFBayer8ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::io::LZFRGB24ImageReader::readOMP(), pcl::io::LZFYUV422ImageReader::readOMP(), pcl::io::LZFBayer8ImageReader::readOMP(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::ExtractPolygonalPrismData< PointT >::segment(), pcl::OrganizedMultiPlaneSegmentation< PointT, PointNT, PointLT >::segment(), pcl::OrganizedMultiPlaneSegmentation< pcl::PointXYZRGBA, pcl::Normal, pcl::Label >::segmentAndRefine(), pcl::OrganizedMultiPlaneSegmentation< PointT, PointNT, PointLT >::segmentAndRefine(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::Morphology< PointT >::subtractionBinary(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::Morphology< PointT >::unionBinary(), pcl::registration::TransformationValidationEuclidean< PointSource, PointTarget, Scalar >::validateTransformation(), pcl::io::vtkPolyDataToPointCloud(), and pcl::io::vtkStructuredGridToPointCloud(). Definition at line 425 of file point_cloud.h. Make a directory called build, in which the compilation will be Let us say the project is placed under /PATH/TO/MY/GRAND/PROJECT that Pages generated on Sun Dec 11 2022 02:57:55, pcl::PointCloud< PointT > Class Template Reference. Note: The Open3D package is compatible with python version 2.7, 3.5 and 3.6. pcl::FastBilateralFilterOMP< PointT >::applyFilter(), pcl::filters::Pyramid< PointT >::compute(), pcl::occlusion_reasoning::getOccludedCloud(), pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::getEdgeIndex(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::getFaceIndex(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::getHalfEdgeIndex(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::getVertexIndex(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::cleanUp(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget, Scalar >::computeCovariances(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::extractDescriptors(), pcl::SupervoxelClustering< PointT >::getLabeledCloud(), pcl::SupervoxelClustering< PointT >::getLabeledVoxelCloud(), pcl::SupervoxelClustering< PointT >::makeSupervoxelNormalCloud(), pcl::MovingLeastSquares< PointInT, PointOutT >::performProcessing(), pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::readRange(), pcl::MinCutSegmentation< PointT >::setBackgroundPoints(), pcl::MinCutSegmentation< PointT >::setForegroundPoints(), pcl::GridMinimum< PointT >::applyFilter(), pcl::LocalMaximum< PointT >::applyFilter(), pcl::ProjectInliers< PointT >::applyFilter(), pcl::UniformSampling< PointT >::applyFilter(), pcl::DisparityMapConverter< PointT >::compute(), pcl::Feature< PointInT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::GRSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeFeature(), pcl::RIFTEstimation< PointInT, GradientT, PointOutT >::computeFeature(), pcl::RSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::io::OrganizedConversion< PointT, false >::convert(), pcl::io::OrganizedConversion< PointT, true >::convert(), pcl::TSDFVolume< VoxelT, WeightT >::convertToTsdfCloud(), pcl::VoxelGridCovariance< PointT >::getDisplayCloud(), pcl::MarchingCubes< PointNT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction2D(), pcl::CloudSurfaceProcessing< PointInT, PointOutT >::process(), pcl::BilateralUpsampling< PointInT, PointOutT >::process(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::SurfaceReconstruction< PointInT >::reconstruct(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::SegmentDifferences< PointT >::segment(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::setSearchSurface(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::OrganizedMultiPlaneSegmentation< PointT, PointNT, PointLT >::segmentAndRefine(), pcl::SupervoxelClustering< PointT >::setInputCloud(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::visualization::ImageViewer::addMask(), pcl::HypothesisVerification< ModelT, SceneT >::addModels(), pcl::visualization::ImageViewer::addPlanarPolygon(), pcl::visualization::ImageViewer::addRectangle(), pcl::io::PointCloudImageExtractor< PointT >::extract(), pcl::Edge< PointInT, PointOutT >::canny(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::estimateFeatures(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::addData(), pcl::MovingLeastSquares< PointInT, PointOutT >::addProjectedPointNormal(), pcl::MarchingCubes< PointNT >::createSurface(), pcl::SUSANKeypoint< PointInT, PointOutT, NormalT, IntensityT >::detectKeypoints(), pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints(), pcl::gpu::extractLabeledEuclideanClusters(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::insertRange(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::track(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::computeTracking(), pcl::Registration< PointSource, PointTarget, Scalar >::align(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::ShadowPoints< PointT, NormalT >::applyFilter(), pcl::OrganizedEdgeBase< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::compute(), pcl::OrganizedEdgeFromRGBNormals< PointT, PointNT, PointLT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::features::computeApproximateNormals(), pcl::NormalBasedSignatureEstimation< PointT, PointNT, PointFeature >::computeFeature(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::convolve(), pcl::Edge< PointInT, PointOutT >::detectEdgeCanny(), pcl::Edge< PointInT, PointOutT >::detectEdgePrewitt(), pcl::Edge< PointInT, PointOutT >::detectEdgeSobel(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::Morphology< PointT >::dilationBinary(), pcl::Morphology< PointT >::dilationGray(), pcl::Morphology< PointT >::erosionBinary(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::extractEdges(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::extractEdges(), pcl::SampleConsensusPrerejective< PointSource, PointTarget, FeatureT >::getFitness(), pcl::filters::Convolution< PointIn, PointOut >::initCompute(), pcl::Morphology< PointT >::intersectionBinary(), pcl::search::Search< PointT >::nearestKSearchT(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::Poisson< PointNT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction3D(), pcl::ColorGradientModality< PointInT >::processInputData(), pcl::SampleConsensusModelCircle2D< PointT >::projectPoints(), pcl::SampleConsensusModelCircle3D< PointT >::projectPoints(), pcl::SampleConsensusModelCone< PointT, PointNT >::projectPoints(), pcl::SampleConsensusModelCylinder< PointT, PointNT >::projectPoints(), pcl::SampleConsensusModelEllipse3D< PointT >::projectPoints(), pcl::SampleConsensusModelLine< PointT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelSphere< PointT >::projectPoints(), pcl::SampleConsensusModelStick< PointT >::projectPoints(), pcl::search::Search< PointT >::radiusSearchT(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::ExtractPolygonalPrismData< PointT >::segment(), pcl::OrganizedMultiPlaneSegmentation< PointT, PointNT, PointLT >::segment(), pcl::OrganizedMultiPlaneSegmentation< pcl::PointXYZRGBA, pcl::Normal, pcl::Label >::segmentAndRefine(), pcl::Morphology< PointT >::subtractionBinary(), pcl::registration::TransformationValidationEuclidean< PointSource, PointTarget, Scalar >::validateTransformation(), pcl::visualization::PCLHistogramVisualizer::addFeatureHistogram(), pcl::visualization::PCLPlotter::addFeatureHistogram(), pcl::visualization::PCLVisualizer::addPointCloudIntensityGradients(), pcl::visualization::PCLVisualizer::addPointCloudPrincipalCurvatures(), pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::LineRGBD< PointXYZT, PointRGBT >::addTemplate(), pcl::recognition::TrimmedICP< PointT, Scalar >::align(), pcl::SamplingSurfaceNormal< PointT >::applyFilter(), pcl::UnaryClassifier< PointT >::assignLabels(), pcl::PlaneClipper3D< PointT >::clipPointCloud3D(), pcl::BoxClipper3D< PointT >::clipPointCloud3D(), pcl::features::computeApproximateCovariances(), pcl::ESFEstimation< PointInT, PointOutT >::computeESF(), pcl::UnaryClassifier< PointT >::convertCloud(), pcl::gpu::kinfuLS::StandaloneMarchingCubes< PointT >::convertTsdfVectors(), pcl::LineRGBD< PointXYZT, PointRGBT >::createAndAddTemplate(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::SIFTKeypoint< PointInT, PointOutT >::detectKeypoints(), pcl::registration::TransformationEstimationLM< PointSource, PointTarget, float >::estimateRigidTransformation(), pcl::registration::TransformationEstimation2D< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationDQ< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationPointToPlaneLLSWeighted< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationPointToPlaneWeighted< PointSource, PointTarget, MatScalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimation3Point< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationDualQuaternion< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationLM< PointSource, PointTarget, MatScalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationPointToPlaneLLS< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationSVD< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationSVD< PointSource, PointTarget, float >::estimateRigidTransformation(), pcl::registration::TransformationEstimationSymmetricPointToPlaneLLS< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::io::PointCloudImageExtractorWithScaling< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromNormalField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromRGBField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromLabelField< PointT >::extractImpl(), pcl::occlusion_reasoning::ZBuffering< ModelT, SceneT >::filter(), pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::filterNormalsWithHighCurvature(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::filterNormalsWithHighCurvature(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::findObjects(), pcl::features::ISMVoteList< PointT >::getColoredCloud(), pcl::UnaryClassifier< PointT >::kmeansClustering(), pcl::LineRGBD< PointXYZT, PointRGBT >::loadTemplates(), pcl::VoxelGridCovariance< PointT >::nearestKSearch(), pcl::UnaryClassifier< PointT >::queryFeatureDistances(), pcl::search::Search< PointT >::radiusSearch(), pcl::VoxelGridCovariance< PointT >::radiusSearch(), pcl::search::Search< PointInT >::Search(), pcl::SampleConsensusPrerejective< PointSource, PointTarget, FeatureT >::selectSamples(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::setEdgeDataCloud(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::setFaceDataCloud(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::setHalfEdgeDataCloud(), pcl::search::Search< PointInT >::setInputCloud(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget, Scalar >::setInputSource(), pcl::poisson::Octree< Degree >::setTree(), pcl::geometry::MeshBase< DerivedT, MeshTraitsT, MeshTagT >::setVertexDataCloud(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::simplifyCloud(), pcl::visualization::PCLHistogramVisualizer::updateFeatureHistogram(), pcl::visualization::PCLVisualizer::updatePolygonMesh(), pcl::registration::KFPCSInitialAlignment< PointSource, PointTarget, NormalT, Scalar >::validateTransformation(), pcl::PointCloud< PointT >::sensor_orientation_, pcl::PointCloud< PointT >::sensor_origin_, pcl::visualization::ImageViewer::addRGBImage(), pcl::MedianFilter< PointT >::applyFilter(), pcl::LineRGBD< PointXYZT, PointRGBT >::applyProjectiveDepthICPOnDetections(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradientsSobel(), pcl::gpu::kinfuLS::StandaloneMarchingCubes< PointT >::convertTrianglesToMesh(), pcl::Edge< ImageType, ImageType >::detectEdgeCanny(), pcl::Edge< ImageType, ImageType >::detectEdgeRoberts(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::downsample(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::extractRGBFromPointCloud(), pcl::MinCutSegmentation< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::outofcore::OutofcoreOctreeBaseNode< ContainerT, PointT >::queryBBIncludes(), pcl::visualization::ImageViewer::showCorrespondences(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::swapDimensions(), pcl::ExtractIndices< PointT >::applyFilter(), pcl::FilterIndices< PointT >::applyFilter(), pcl::SHOTEstimation< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::SHOTColorEstimation< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::FPFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::IntensityGradientEstimation< PointInT, PointNT, PointOutT, IntensitySelectorT >::computeFeature(), pcl::MomentInvariantsEstimation< PointInT, PointOutT >::computeFeature(), pcl::NormalEstimation< PointInT, PointOutT >::computeFeature(), pcl::PFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::SHOTColorEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeatureFull(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeaturePart(), pcl::MomentInvariantsEstimation< PointInT, PointOutT >::computePointMomentInvariants(), pcl::BriskKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::PlanarPolygon< PointT >::setContour(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::shiftCloud(), pcl::TextureMapping< PointInT >::showOcclusions(), pcl::TextureMapping< PointInT >::textureMeshwithMultipleCameras(), pcl::visualization::PCLVisualizer::addCorrespondences(), pcl::visualization::PCLVisualizer::addPointCloud(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeature(), pcl::ImageGrabber< PointT >::operator[](), pcl::RangeImageBorderExtractor::calculateBorderDirection(), pcl::RangeImageBorderExtractor::calculateMainPrincipalCurvature(), pcl::RangeImageBorderExtractor::changeScoreAccordingToShadowBorderValue(), pcl::RangeImageBorderExtractor::checkIfMaximum(), pcl::RangeImageBorderExtractor::checkPotentialBorder(), pcl::OrganizedEdgeBase< PointT, PointLT >::extractEdges(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::mismatchVector(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::spatialGradient(), pcl::RangeImageBorderExtractor::updatedScoreAccordingToNeighborValues(), Eigen::Map< Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> >, const Eigen::Map< const Eigen::MatrixXf, Eigen::Aligned, 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