A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
A no dependency, header-only, fast supervoxel segmentation library for 3D point clouds
Blender Python PLY importer for point clouds and nonstandard models.
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
We propose a framework that accurately derives the 3D tongue shape from single images. A high detailed 3D point cloud of the tongue surface and a full head topology along with the tongue expression can be estimated from the image domain.
Rui Qian, Xin Lai, Xirong Li: 3D Object Detection for Autonomous Driving: A Survey (Pattern Recognition 2022: IF=8.518)
[WACV 2021] Dynamic Plane Convolutional Occupancy Networks
Using Euclidiean Clustering and RANSAC to detect Objects in Lidar captured Point Clouds (PCDs)
Preprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.
Delft University of Technology MSc. Geomatics Synthesis (GEO1101) Project 5: 3D Representations for Visual Insight
PointPainting 笔记（代码已fix，可正常运行）
SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
A Julia package for reading and writing LAS data
Fast 3D point cloud processing lib based on C++/cuda
Simple PCL bindings for Python and other utilities for processing point clouds.