The PointCloud command creates a set of vertices from selected point objects or a mesh object to facilitate selection and faster display.The point cloud object type improves Rhino's performance when handling a large number of point objects imported from external files.You...
VRMesh is an easy-to-use point cloud processing software, covering point cloud classification, feature extraction, point cloud meshing, and polygon modeling. Land Surveying Classify point clouds automatically Create accurate TIN surfaces Extract breaklines ...
As discusses in Chapter 2, the point cloud is the basic output from a 3D laser scanner. The most generic point cloud file format is a 3D coordinate file (often referred to as an xyz file). The format for this file is ASCII and can therefore be read by all post-processing software....
ArcGIS 3D Analyst offers GIS professionals a comprehensive suite of tools for point cloud processing to create digital elevation models, extract 3D features and perform advanced 3D data analysis.
受bert启发,设计了a Masked Point Modeling (MPM) task 预训练 point cloud Transformers。首先将点云分割为several local point patches,设计了一个带有discrete Variational AutoEncoder (dVAE)的a point cloud Tokenizer——生成discrete point tokens包含了局部信息。然后,随机mask out一些输入点云的patches,feed ...
Point-cloud modelingComputational fluid dynamicsLaser-scanned dataUrban landscape designDesign performanceThe topic of this paper evolves on the discourse of digital modeling in landscape design. Current design methods stagger to address physical forms and dynamics present in the environment. This status ...
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We propose a complete framework for the automatic modeling from point cloud data. Initially, the point cloud data are preprocessed into manageable datasets, which are then separated into clusters using a novel two-step, unsupervised clustering algorithm. The boundaries extracted for each cluster are ...
· 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...
[NeurIPS] PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation. [code] [cls. oth.] [ICLR] Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. [oth.] [ICMLW] LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving. ...