We're thrilled to announce that Point Cloud Library (PCL) version 1.1 has been released!
You can find the latest source and binaries on our download page:
http://www.pointclouds.org/downloads/.
Thanks to the hard work of all of our awesome contributors, we've got a big list of new features:
- new 3D features:
- SHOT (Signature of Histograms of Orientations)
- PPF (Point-Pair Features)
- StatisticalMultiscaleInterestRegionExtraction
- MultiscaleFeaturePersistence
- improved documentation:
- sample consensus model coefficients better explained
- new tutorials (RadiusOutlierRemoval, ConditionalRemovalFilter, ConcatenateClouds, IterativeClosestPoint, KdTreeSearch, NARF Descriptor visualization, NARF keypoint extraction, ConcaveHull, PCLVisualizer demo)
- new surface triangulation methods:
- MarchingCubes, MarchingCubesGreedy
- OrganizedFastMesh
- SurfelSmoothing
- SimplificationRemoveUnusedVertices
- new registration methods:
- PyramindFeatureMatching
- CorrespondenceRejectorSampleConsensus
- new general purpose classes/methods:
- Synchronizer
- distance norms
- TextureMesh
- PointCloud.{isOrganized, getMatrixXfMap)
- SACSegmentation now works with PROSAC too
- PCDViewer now reads VTK files
- new Mouse and Keyboard events for PCLVisualizer
- PCLVisualizer.{addText3D, addCoordinateSystem (Eigen::Matrix4f), deleteText3D, updatePointCloud, renderViewTesselatedSphere, resetCameraViewpoint, getCameras, getViewerPose}
- ONIGrabber, DeviceONI
- ImageRGB24, IRImage
- generic FileReader + FileWriter
- optimizations:
- faster pipelinening by not recreating a fake set of indices everytime
- rendering optimizations for PCLVisualizer
- copyPointCloud is now faster and can copy the intersections of the fields in both input datasets
- VoxelGrid is now ~20Hz for Kinect data
- new applications:
- VFH NN classification
- 3D concave hulls
- 3D convex hulls
- ICP registration
- Planar segmentation
- Stream compression
- Range image viewer
- Voxel Grid
- IntegralImage normal estimation
- issues fixed: #75, #106, #118, #126, #132, #139, #156, #182, #184, #189, #197, #198, #199, #201, #202, #203, #210, #213, #211, #217, #223, #225, #228, #230, #231, #233, #234, #240, #247, #250, #251, #254, #255, #257, #258, #259, #261, #262, #264, #265, #266, #267, #268, #269, #273, #276, #278, #279, #281, #282, #283
New to PCL? Visit our downloads page and give it a try. If you're looking for ideas on how to get started, be sure to check out our growing collection of tutorials.
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