Results 81 to 90 of about 309,652 (283)
Pointwise Convolutional Neural Networks
Deep learning with 3D data such as reconstructed point clouds and CAD models has received great research interests recently. However, the capability of using point clouds with convolutional neural network has been so far not fully explored. In this paper,
Hua, Binh-Son +2 more
core +1 more source
Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai +6 more
wiley +1 more source
Building-PCC: Building Point Cloud Completion Benchmarks [PDF]
With the rapid advancement of 3D sensing technologies, obtaining 3D shape information of objects has become increasingly convenient. Lidar technology, with its capability to accurately capture the 3D information of objects at long distances, has been ...
W. Gao, R. Peters, J. Stoter
doaj +1 more source
Adaptive Non-Rigid Inpainting of 3D Point Cloud Geometry
In this letter, we introduce several algorithms for geometry inpainting of 3D point clouds with large holes. The algorithms are examplar-based: hole filling is performed iteratively using templates near the hole boundary to find the best matching regions
Bajic, Ivan V. +2 more
core +1 more source
USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds [PDF]
19 ...
Li, Jiaxin, Lee, Gim Hee
openaire +2 more sources
Gold bipyramids can act as efficient plasmonic nanoheaters, but they often reshape during laser heating. This study shows that oxygen nanobubbles drive oxidative etching and that surface ligands control stability. CTAB‐ and citrate‐coated particles blunt and lose optical performance, whereas polystyrene sulfonate preserves shape and heating by ...
Irene López‐Sicilia +7 more
wiley +1 more source
Over the past few years, various research has been conducted to utilize 3D point cloud data in construction sites. This is because 3D point cloud data contain a variety of information, such as spatial coordinates (X, Y, Z), intensity, and color (RGB ...
Suyeul Park, Yonggun Kim, Seok Kim
doaj +1 more source
Point Siamese Network for Person Tracking Using 3D Point Clouds [PDF]
Person tracking is an important issue in both computer vision and robotics. However, most existing person tracking methods using 3D point cloud are based on the Bayesian Filtering framework which are not robust in challenging scenes. In contrast with the filtering methods, in this paper, we propose a neural network to cope with person tracking using ...
Yubo Cui, Zheng Fang, Sifan Zhou
openaire +3 more sources
Algorithmic Design of Disordered Networks With Arbitrary Coordination: Application to Biophotonics
Predictive Design of Disordered Networks: Disordered network‐like morphologies are abundant in nature, from cytoskeletal networks to bone structures and chalcogenide glasses. These structures are naturally hard to characterize. A new algorithmic tool extends the established Wooten–Weaire–Winer (WWW) algorithm to valencies above 4.
Florin Hemmann +3 more
wiley +1 more source
Terrestrial laser scanning and 3D imaging: Heritage case study – The Black Gate, Newcastle Upon Tyne [PDF]
This paper offers a case study on the recording of a section of wall on a complex heritage building, the Black Gate in Newcastle upon Tyne. The paper adopts case study methodology to assess the appropriateness of using a long range scanner based upon ...
Heslop, David +2 more
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