Results 121 to 130 of about 6,545,527 (327)

A Registration Method Based on Ordered Point Clouds for Key Components of Trains

Sensors
Point 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, Xiaopeng Deng, Zijian Bai, Yingying Wan, Liming Xie, Ni Zeng   +5 more
doaj   +1 more source

From a few Accurate 2D Correspondences to 3D Point Clouds [PDF]

arXiv, 2022
Key points, correspondences, projection matrices, point clouds and dense clouds are the skeletons in image-based 3D reconstruction, of which point clouds have the important role in generating a realistic and natural model for a 3D reconstructed object. To achieve a good 3D reconstruction, the point clouds must be almost everywhere in the surface of the
arxiv  

A General Cyanine‐Based Platform for Designing Robust Dual‐Channel Near‐Infrared Fluorescent and Photoacoustic Probes

Advanced Functional Materials, EarlyView.
The study presents a general cyanine‐based platform CySN for designing robust dual‐channel near‐infrared fluorescent (NIRF) and photoacoustic (PA) probes with high ratiometric signals change. CySN enables the construction of highly sensitive and selective dual‐channel NIRF/PA probes for both small molecule and enzyme biomarkers (H2O2, esterase ...
Pingzhou Wu, Zheng Qu, Jie Zhang, Xiaojie Ren, Dongqing Wang, Chen Huang, Ke Cheng, Junyang Qi, Heng Shi, Shenglong Gan, Wenyu Wei, Yachao Zhang, Chun‐Sing Lee, Lidai Wang, Hongyan Sun   +14 more
wiley   +1 more source

D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion [PDF]

arXiv, 2023
Learning and selecting important points on a point cloud is crucial for point cloud understanding in various applications. Most of early methods selected the important points on 3D shapes by analyzing the intrinsic geometric properties of every single shape, which fails to capture the importance of points that distinguishes a shape from objects of ...
arxiv  

Point Cloud Completion: A Survey [PDF]

IEEE Transactions on Visualization and Computer Graphics
Point cloud completion is the task of producing a complete 3D shape given an input of a partial point cloud. It has become a vital process in 3D computer graphics, vision and applications such as autonomous driving, robotics, and augmented reality. These applications often rely on the presence of a complete 3D representation of the environment.
Keneni W. Tesema, Lyndon Hill, Mark W. Jones, Muneeb I. Ahmad, Gary K.L. Tam   +4 more
openaire   +3 more sources

Hydrogel‐Based Photothermal‐Catalytic Membrane for Efficient Cogeneration of Freshwater and Hydrogen in Membrane Distillation System

Advanced Functional Materials, EarlyView.
This work presents an overview of the PTC‐VMD system for water‐hydrogen co‐generation. a) Illustration of the hydrogel‐based PTC membrane and the co‐generation of water and hydrogen. b) Structure of the PTC‐VMD system and the functions of each component layer.
Jiawei Sun, Muhammad Usman Farid, Wenlong Xi, Gang Lu, Min Wei Boey, Sai Kishore Ravi, Patrick H.‐L. Sit, Alicia Kyoungjin An   +7 more
wiley   +1 more source

Point Cloud Learning with Transformer

, 2022
Abstract Remarkable performance from Transformer networks in Natural Language Processing promote the development of these models in dealing with computer vision tasks such as image recognition and segmentation. In this paper, we introduce a novel framework, called Multi-level Multi-scale Point Transformer (MLMSPT) that works directly on the ...
Zhong, Qi, Han, Xian-Feng
openaire   +2 more sources

Versatile Selective Soldering via Molten Metal Printing for Heat‐Sensitive 3D Electronics and Smart Wearables

Advanced Functional Materials, EarlyView.
Selective soldering via molten metal printing enables component integration, even in heat‐sensitive applications across fields like additive manufacturing, sustainable electronics, and smart textiles. This method overcomes the temperature limitations of existing technologies.
Dániel Straubinger, Peter Koltay, Roland Zengerle, Sabrina Kartmann, Zhe Shu   +4 more
wiley   +1 more source

Nonparametric point cloud filter

IET Image Processing
This paper proposes a nonparametric point cloud filter to address the issue that existing point cloud filtering methods cannot retain important point cloud features after filtering and often require complex parameter adjustments. Firstly, a nonparametric
Yefa Sun, Jinli Wang
doaj   +1 more source

ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds [PDF]

arXiv, 2020
We introduce ShapeAdv, a novel framework to study shape-aware adversarial perturbations that reflect the underlying shape variations (e.g., geometric deformations and structural differences) in the 3D point cloud space. We develop shape-aware adversarial 3D point cloud attacks by leveraging the learned latent space of a point cloud auto-encoder where ...
arxiv