Results 81 to 90 of about 165,702 (282)
Remote Sensing, 2021 Estimation of urban tree canopy parameters plays a crucial role in urban forest management. Unmanned aerial vehicles (UAV) have been widely used for many applications particularly forestry mapping.
Ebadat Ghanbari Parmehr, Marco Amati
doaj +1 more source
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Advanced Functional Materials, EarlyView.Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
AFE-RCNN: Adaptive Feature Enhancement RCNN for 3D Object Detection
Remote Sensing, 2022 The point clouds scanned by lidar are generally sparse, which can result in fewer sampling points of objects. To perform precise and effective 3D object detection, it is necessary to improve the feature representation ability to extract more feature ...
Feng Shuang +4 more
doaj +1 more source
Learned 3D Shape Descriptors for Classifying 3D Point Cloud Models [PDF]
Proceedings of CAD'16, 2016 ABSTRACTRecent hardware advances in the field of 3D imaging are democratizing 3D sensing with tremendous scientific and societal implications. Point cloud processing has traditionally required meshing the point clouds output by 3D cameras followed by surface reconstruction, and geometric feature recognition.
Xiaojun Zhao, Horea T. Ilieş
openaire +2 more sources
Shape-invariant 3D Adversarial Point Clouds
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Adversary and invisibility are two fundamental but conflict characters of adversarial perturbations. Previous adversarial attacks on 3D point cloud recognition have often been criticized for their noticeable point outliers, since they just involve an "implicit constrain" like global distance loss in the time-consuming optimization to limit the ...
Huang, Qidong +5 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
Semi-Supervised Semantic Segmentation Network for Point Clouds Based on 3D Shape
Applied Sciences, 2023 The semantic segmentation of point clouds has significant applications in fields such as autonomous driving, robot vision, and smart cities. As LiDAR technology continues to develop, point clouds have gradually become the main type of 3D data.
Liting Zhang, Kun Zhang
doaj +1 more source
3D Point Cloud Classification with ACGAN-3D and VACWGAN-GP
Turkish Journal of Electrical Engineering and Computer Sciences, 2023 Machine learning and deep learning techniques are widely used to make sense of 3D point cloud data which became ubiquitous and important due to the recent advances in 3D scanning technologies and other sensors. In this work, we propose two networks to predict the class of the input 3D point cloud: 3D Auxiliary Classifier Generative Adversarial Network (
Ergün, Onur, Sahillioglu, Yusuf
openaire +2 more sources
Point Cloud Framework for Rendering 3D Models Using Google Tango [PDF]
, 2017 This project seeks to demonstrate the feasibility of point cloud meshing for capturing and modeling three dimensional objects on consumer smart phones and tablets.
Callin, Julian, Chung, Maxen
core +1 more source
From Multiview Image Curves to 3D Drawings
, 2016 Reconstructing 3D scenes from multiple views has made impressive strides in recent years, chiefly by correlating isolated feature points, intensity patterns, or curvilinear structures.
A Kowdle +26 more
core +1 more source