Everything about Point cloud
Set of data points in three-dimensional space
A point cloud is a discrete set of data points in space. The points may represent a 3D shape or object. Each point position has its set of Cartesian coordinates. Points may contain data other than position such as RGB colors, normals, timestamps and others. Point clouds are generally produced by 3D scanners or by photogrammetry software, which measure many points on the external surfaces of objects around them. As the output of 3D scanning processes, point clouds are used for many purposes, including to create 3D computer-aided design (CAD) or geographic information systems (GIS) models for manufactured parts, for metrology and quality inspection, and for a multitude of visualizing, animating, rendering, and mass customization applications. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Point cloudA 5-minute orientation
- Skim a recent paper: Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A ReviewInfluential work since 2022
- Pick up a classic book: Efficiency of Terrestrial Laser Scanning in Survey WorksThe most-reprinted book on the subject
- Read the landmark paper: Dynamic Graph CNN for Learning on Point CloudsCited 5,576 times
- Go sideways: Iterative closest pointA closely related topic
- Go sideways: Point Cloud LibraryA closely related topic
📖 Definitions
Noun A series of points in three-dimensional space that collectively describe the geometry of a physical object.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Dynamic Graph CNN for Learning on Point Clouds
Deep Learning for 3D Point Clouds: A Survey
PCT: Point cloud transformer
Point cloud filtering on UAV based point cloud
PVT: Point‐voxel transformer for point cloud learning
Point Cloud Mamba: Point Cloud Learning via State Space Model
Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests
Semantic Point Cloud Upsampling
🆕 Influential since 2022
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
Geometric Back-Projection Network for Point Cloud Classification
GAF-Net: Geometric Contextual Feature Aggregation and Adaptive Fusion for Large-Scale Point Cloud Semantic Segmentation
📚 Books worth reading
- 📕Efficiency of Terrestrial Laser Scanning in Survey WorksFayez Tarsha Kurdi, Paul Reed, Zahra Gharineiat and Mohammad Awrangjeb · 2023
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Iterative closest point Iterative closest point (ICP) is a point cloud registration algorithm employed to minimize the difference between two clouds of points. ICP is often used…
- Point Cloud Library The Point Cloud Library (PCL) is an open-source library of algorithms for point cloud processing tasks and 3D geometry processing, such as occur in three-dimens…
- Volumetric capture Volumetric record or volumetric video is a technique that records a three-dimensional space, such as a location or performance. This type of volumography…
- Digital outcrop model A digital outcrop model (DOM), also called a virtual outcrop model, is a digital 3D representation of the outcrop surface, mostly in a form of textured…
- 3D reconstruction from multiple images 3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images…
- CloudCompare CloudCompare is a 3D point cloud processing software (such as those obtained with a laser scanner). It can also handle triangular meshes and calibrated…
- 3D scanning 3D scanning is the process of analyzing a real-world object or environment to collect three dimensional data of its shape and possibly its appearance (e…
- DSSP (imaging) DSSP stands for digital shape sampling and processing. It is an alternative and often preferred way of describing "reverse engineering" software and hardware…