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Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation [seg; PyTorch] ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning [reg; PyTorch] LiDAR R-CNN: An Efficient and Universal 3D Object Detector [det; Github] Equivariant Point Network for 3D Point Cloud Ana...
End-to-end Point Cloud workflows – Veesus software enables you to capture, view, edit, combine, mark-up, present and share. Wherever you are and whatever equipment you use a Veesus subcription enables you to maximise your Point Cloud resources. ...
Curl-Free RBF Partition of Unity (CFPU) method for implicit surface reconstruction from oriented point clouds This is a MATLAB implementation of the CFPU method described in [1]. The code can be used to produce an implicit (zero level-set) surface to an oriented point cloud - a point cloud...
Set-CMCollectionCloudSync Set-CMCollectionMembershipEvaluationComponent Set-CMCollectionPowerManagement Set-CMComplianceRuleAssembly Set-CMComplianceRuleExistential Set-CMComplianceRuleFileFolderAttribute Set-CMComplianceRuleFileFolderDate Set-CMComplianceRuleFileFolderPermission Set-CMComplianceRuleFileFolderSimple Set...
The proposed solution FEC is a GPU-free faster point cloud instance segmentation solution. It can handle general point cloud data as input without relying on scene scale (e.g., single LiDAR scan) or structure pre-knowledge (e.g., scan line id). Thus, we can apply FEC to large-scale ...
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Point Cloud Library The Point Cloud Library (orPCL) is a large scale, open project for point cloud processing, started by Willow Garage, with the purpose to accelerate 3D algorithmic work in perception for use in robotic applications. The PCL framework contains numerous state-of-the art algorith...
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