Learning ROS: Point Clouds 点云 - 代码天地

Learning ROS: Point Clouds 点云

其他 2018-04-16 20:33:32 阅读次数: 6

不同类型的点云：

pcl::PointXYZ

pcl::PointXYZI

pcl::PointXYZRGBA

pcl::PointXYZRGB

pcl::Normal

pcl::PointNormal

本章将所有示例联系在一起，以便重用，展现PCL基本功能与ROS集成

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转载自www.cnblogs.com/xbit/p/8858360.html

Learning ROS: Point Clouds 点云

三维点云语义分割【综述】 ——Deep Learning for 3D Point Clouds: A Survey

【论文汇总】无监督点云分类【Unsupervised Representation Learning for Point Clouds: A Survey】

Point Clouds in Deep Learning: A Comprehensive Overview and Implementation

【点云识别】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)

点云补全综述 Comprehensive Review of Deep Learning-Based 3D Point Clouds Completion Processing and Analys

【论文阅读】DGCNN：Dynamic Graph CNN for Learning on Point Clouds

DGCNN (Edge Conv) : Dynamic Graph CNN for Learning on Point Clouds

【WACV 2021】Self-Supervised Learning for Domain Adaptation on Point Clouds

【ICCV 2019】Unsupervised Multi-Task Feature Learning on Point Clouds

【论文阅读】【Arxiv 2022.02】Unsupervised Representation Learning for Point Clouds: A Survey

Deep Learning for 3D Point Clouds: A Survey

Deep Learning for 3D Point Clouds: A Survey - 3D点云的深度学习：一项调查 (IEEE TPAMI 2020)

【点云识别】Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling 论文笔记

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds 笔记

CVPR 2020——Learning to Segment 3D Point Clouds in 2D Image Space

CVPR 2019——Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

【论文阅读】【综述】Deep Learning for 3D Point Clouds: A Survey

【论文阅读】【ICCV 2021】CurveNet：Walk in the Cloud： Learning Curves for Point Clouds Shape Analysis

【论文阅读】Unsupervised Representation Learning for Point Clouds：A Survey【2022年-综述】

【CVPR 2018】Learning Representations and Generative Models for 3D Point Clouds

【IJCV 2022】RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

【2202.02543】ConClu：Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting

【论文阅读】【ICCV 2021】RPNet：Learning Inner-Group Relations on Point Clouds

【NeurIPS 2019】Self-Supervised Deep Learning on Point Clouds by Reconstructing Space

文章解读 -- FlowNet3D：Learning Scene Flow in 3D Point Clouds

CVPR 2019: Generating 3D Adversarial Point Clouds 生成三维对抗点云数据

【CVPR2022 点云3D检测SOTA】SoftGroup for 3D Instance Segmentation on Point Clouds

【ICCV 2019】MAP-VAE：Multi-Angle Point Cloud-VAE： Unsupervised Feature Learning for 3D Point Clouds..

KPConv: Flexible and Deformable Convolution for Point Clouds

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