作者单位:卡内基梅隆大学 本文链接:Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud 本篇文章来自小编:IDPT-大脸猫 简介 作者提出了一种从激光雷达点云中检测目标的图神经网络,可以在固定半径的近邻图中高效地对点云进行编码。作者设计了一个名为Point-GNN的图神经网络,用于预测图中每...
论文原文:Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud 论文地址:https://www.aminer.cn/pub/5e5f7c4791e011df604ecb9c 论文背景 本文提出了一个 GNN 用于从 LiDAR 电云中发现对象,为此,作者在固定半径的近邻图中有效地编码了点云,使用 Point-GNN 预测每个点的对象的类别和形状。
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud Hengshuang Zhao Li Jiang Chi-Wing Fu Jiaya Jia The Chinese University of Hong Kong Tencent Youtu Lab 论文地址:https://arxiv.org/abs/1905.08705
PointGAT: Graph attention networks for 3D object detection pointcloudgraph neural networkattention mechanism3D object detection is a critical technology in many applications,and among the various detection methods,point... H Zhou,W Wang,G Liu,... - 智能与融合网络(英文) 被引量: 0发表: 2022年 ...
Automatic building extraction and delineation from airborne LiDAR point cloud data of urban environments is still a challenging task due to the variety and complexity at which buildings appear. The Medial Axis Transform (MAT) is able to describe the geometric shape and topology of an object, but ...
A system includes one or more processors and a memory that stores a generative adversarial network (GAN). The one or more processors are configured to receive a low resolution point cloud comprising a set of three-dimensional (3D) data points that represents an object. A generator of the GAN...
point cloud registration; deep learning; graph neural network; attention1. Introduction Point cloud registration is the process of aligning multiple three-dimensional point clouds to integrate data from different perspectives or time points, creating an accurate and complete 3D model. This technology is...
3D point cloud density-based segmentation for vine rows detection and localisation. Comput. Electron. Agric. 2022, 199, 107166. [Google Scholar] [CrossRef] Maturana, D.; Scherer, S. VoxNet: A 3D Convolutional Neural Network for real-time object recognition. In Proceedings of the 2015 IEEE/...
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning [self-supervised] SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration [registration] DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors [matching; Github] Arbitrary...
20. Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud 会议:CVPR 2020. 作者:Weijing Shi, Raj Rajkumar 链接:https://openaccess.thecvf.com/content_CVPR_2020/papers/Shi_Point-GNN_Graph_Neural_Network_for_3D_Object_Detection_in_a_CVPR_2020_paper.pdf ...