DG-MVP: 3D Domain Generalization via Multiple Views of Point Clouds for Classification [PDF]
arXivDeep neural networks have achieved significant success in 3D point cloud classification while relying on large-scale, annotated point cloud datasets, which are labor-intensive to build. Compared to capturing data with LiDAR sensors and then performing annotation, it is relatively easier to sample point clouds from CAD models. Yet, data sampled from CAD
arxiv
HCO+ survey of unassociated compact molecular clouds in the IRAS Point Source Catalog [PDF]
, 1987 P. J. Richards +3 more
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Temporal behavior of a solute cloud in a heterogeneous porous medium: 1. Point‐like injection [PDF]
, 2000 Marco Dentz +3 more
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SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network [PDF]
arXivPoint cloud upsampling aims to generate dense and uniformly distributed point sets from sparse point clouds. Existing point cloud upsampling methods typically approach the task as an interpolation problem. They achieve upsampling by performing local interpolation between point clouds or in the feature space, then regressing the interpolated points to ...
arxiv
Cloud-point temperatures for lysozyme in electrolyte solutions: effect of salt type, salt concentration and pH [PDF]
, 2001 J.J. Grigsby +2 more
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A “Point Cloud” Approach in Superelastic Stent Design [PDF]
, 2001 Xiaoyan Gong +2 more
openalex +1 more source
3D is here: Point Cloud Library (PCL)
IEEE International Conference on Robotics and Automation, 2011 R. Rusu, S. Cousins
semanticscholar +1 more source
Sensitive determination of mercury in tap water by cloud point extraction pre-concentration and flow injection-cold vapor-inductively coupled plasma optical emission spectrometry [PDF]
, 2002 Jorgelina C. A. de Wuilloud +4 more
openalex +1 more source
Cloud point extraction of vanadium in parenteral solutions using a nonionic surfactant (PONPE 5.0) and determination by flow injection-inductively coupled plasma optical emission spectrometry [PDF]
, 2002 Gustavo M. Wuilloud
openalex +1 more source
PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression [PDF]
arXivThe universality of the point cloud format enables many 3D applications, making the compression of point clouds a critical phase in practice. Sampled as discrete 3D points, a point cloud approximates 2D surface(s) embedded in 3D with a finite bit-depth.
arxiv