Mitigating Ambiguities in 3D Classification with Gaussian Splatting [PDF]
arXiv3D classification with point cloud input is a fundamental problem in 3D vision. However, due to the discrete nature and the insufficient material description of point cloud representations, there are ambiguities in distinguishing wire-like and flat surfaces, as well as transparent or reflective objects.
arxiv
Smart Cloud-of-Points Model: Point-based Digital Media and Tools for Architectural Design [PDF]
, 2005 Nir Eyal, Isaac Guedi Capeluto
openalex +1 more source
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model [PDF]
arXivWe introduce R2LDM, an innovative approach for generating dense and accurate 4D radar point clouds, guided by corresponding LiDAR point clouds. Instead of utilizing range images or bird's eye view (BEV) images, we represent both LiDAR and 4D radar point clouds using voxel features, which more effectively capture 3D shape information.
arxiv
Determination of Average Oxyethylene Chain Length of Nonionic Surfactants by Cloud Point Measurement
, 1973 Hiroshi Saito, Kōzō Shinoda
openalex +2 more sources
Determination of lead in human saliva by combined cloud point extraction–capillary zone electrophoresis with indirect UV detection [PDF]
, 2005 Michaela Luconi +3 more
openalex +1 more source
Feasibility of cooling the Earth with a cloud of small spacecraft near the inner Lagrange point (L1) [PDF]
, 2006 Roger Angel
openalex +1 more source
Depression of the Cloud Point of Biodiesel by Reaction over Solid Acids [PDF]
, 2006 Juan C. Yori +4 more
openalex +1 more source
Using Histogram Matrices as an Interface for Designing with Parametric Point-Clouds [PDF]
, 2006 Nir Eyal
openalex +1 more source