Results 51 to 60 of about 1,073,958 (334)
Point Cloud Upsampling Network Incorporating Transformer and Multi-stage Learning Framework [PDF]
Jisuanji kexueDrawing on Transformer’s powerful feature encoding capabilities in the fields of natural language and computer vision,and inspired by a multi-stage learning framework,a point cloud upsampling network that incorporates Transformer and multi-stage learning
LI Zekai, BAI Zhengyao, XIAO Xiao, ZHANG Yihan, YOU Yilin
doaj +1 more source
3D Camouflaging Object using RGB-D Sensors
, 2017 This paper proposes a new optical camouflage system that uses RGB-D cameras, for acquiring point cloud of background scene, and tracking observers eyes.
Eshrah, Islam A. +2 more
core +1 more source
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
A Registration Method Based on Ordered Point Clouds for Key Components of Trains
SensorsPoint cloud registration is pivotal across various applications, yet traditional methods rely on unordered point clouds, leading to significant challenges in terms of computational complexity and feature richness.
Kai Yang +5 more
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Real-Time LiDAR Point Cloud Semantic Segmentation for Autonomous Driving [PDF]
, 2021 Xing Xie, Lin Bai, Xinming Huang
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“Zero-Shot” Point Cloud Upsampling
2022 IEEE International Conference on Multimedia and Expo (ICME), 2022 Recent supervised point cloud upsampling methods are restricted by the size of training data and are limited in terms of covering all object shapes. Besides the challenges faced due to data acquisition, the networks also struggle to generalize on unseen records.
Zhou, Kaiyue +2 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
Recoverable 3D Point Cloud Compression Algorithm Based on Vector Similarity
Jisuanji kexue yu tansuo, 2020 Data compression for 3D point cloud suffers from several problems, including difficult to preserve the feature details, over-compress, and difficult to restore a compressed model. To alleviate these problems, CVS (compression based on vector similarity),
ZHANG Xukang, NIU Baoning, ZHANG Jinwen
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Hangkong gongcheng jinzhan, 2023 The effect of point cloud denoising is very important to the subsequent surface fitting and modeling design in 3D scanning process. How to extract feature points quickly and accurately has become a research hotspot.However,the key point of point cloud ...
LI Binpeng, MAO Jian, YANG Jie, CAI Hang
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Advanced Engineering Materials, EarlyView.Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source