Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation (MICCAI 2021) point-cloud-segmentation 3d-medical-imaging-segmentation Updated Jul 22, 2024 Python XiaShan1227 / 3D-Point-Cloud Star 4 Code Issues Pull requests Paper on 3D Point Cloud Processing paper point...
point-clouds 3d-reconstruction 3d-graphics 3d-registration 3d-representation point-cloud-segmentation point-cloud-registration point-cloud-processing point-set-registration point-cloud-detection point-cloud-classification point-cloud-recognition point-cloud-dataset Updated May 19, 2023 pengsongyou / opensc...
代码开源在https:// github.com/ dvlab-research/ StratifiedTransformer 每个点云视为一个token,编码器中的第一个模块中,采用point embedding来聚合局部信息(KPConv),point embedding的引入有利于加速网络收敛。 借鉴Swin Transformer的patch划分方法,将点云划分成多个不重叠的立体窗口,为进一步的提高感受野,引入了一种...
Point cloud segmentation is in practice the heaviest computation as it involves the complete 3D point cloud data. For example, in our Makassar test area, the building segmentation step considered all 464.191 points, while the medial axis segmentation considers 43 individual buildings. The number of ...
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs This is the official PyTorch implementation of the papers: Large-scale Point Cloud Semantic Segmentation with Superpoint Graphshttp://arxiv.org/abs/1711.09869 by Loic Landrieu and Martin Simonovski (CVPR2018), ...
· 开源代码:https://github.com/ldkong1205/PointCloud-C 一句话总结 首个用于评测点云识别模型鲁棒性的基线,包括ModelNet-C和ShapeNet-C两个子集;贴近真实世界的设计,涵盖物体(object)、传感器(sensor)和处理(processing)等阶段中的corruption情形;为基于监督学习、自监督预训练和数据增强等的点云识别算法提供了鲁...
We propose octree-based transformers, named OctFormer, for 3D point cloud learning. OctFormer can not only serve as a general and effective backbone for 3D point cloud segmentation and object detection but also have linear complexity and is scalable for large-scale point clouds. The key challenge...
point cloud; segmentation; RANSAC; point voxel; adaptive threshold; building reconstruction Graphical Abstract1. Introduction Human-made environments consist of many inherent geometric structures. Understanding them is a principal issue for various applications such as urban reconstruction [1,2,3,4] and ...
Thus, it is crucial to investigate the problem of point cloud segmentation. 1.1. Related Works There is a substantial amount of work that targets acquiring a global point cloud and segmenting it off-line which can be classified into four main categories: 1.1.1. Edge-Based Method The most ...
TensorFlow代码:https://github.com/QingyongHu/RandLA-Net 本文提出了一种针对大规模三维点云场景的轻量级、高效点云语义分割新算法RandLA-Net。通过对现有的采样策略进行全面综合的分析,本文采用简单高效的随机采样来显著地减少计算量以及内存消耗,并且引入了全新的局部特征聚合模块持续地增大每个点有效的感受野,保留大多...