75 Open source projects that are alternatives of or similar to From-Voxel-to-Point

loam code noted in Chinese（loam中文注解版）

MVP Benchmark for Multi-View Partial Point Cloud Completion and Registration

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

Point Cloud Library (PCL)

Use the Intel D435 real-sensing camera to realize object detection based on the Yolov3-5 framework under the Opencv DNN(old version)/TersorRT(now) by ROS-melodic.Real-time display of the Pointcloud in the camera coordinate system.

⚠️ Project migrated to : https://gitlab.com/Oslandia/py3dtiles ⚠️

C++ implementation of the Coherent Point Drift point set registration algorithm.

Graduation Project: A point cloud semantic segmentation and VIO based 3D reconstruction method using RGB-D and IMU

GeoTrellis PointCloud library to work with any pointcloud data on Spark

Polylidar3D - Fast polygon extraction from 3D Data

Read and write ASPRS las files, Rust edition.

Physical simulations on Unity

Full-python LiDAR SLAM using ICP and Scan Context

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

Create 3D labelled bounding boxes in RViz

Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Visualizes meshes, pointclouds and video flythroughs in publication quality

An algorithm for projecting three-dimensional laser point cloud data into serialized two-dimensional images.

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

PointRCNN+Frustum Pointnet

A python based tool for converting point cloud into voxel grid.

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

Project the PointCloud to the image & Generate the LiDAR PointCloud with color.

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Web labeling tool for bitmap images and point clouds

level-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data

A Modular Framework for LiDAR-based Lifelong Mapping

Open3D: A Modern Library for 3D Data Processing

[TensorFlow] Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

LiDAR SLAM: Scan Context + LeGO-LOAM

Global L0 algorithm for regularity-constrained plane fitting

A simple unity project to view scans created by the open source 3D scanner project

🔥Urban-scale point cloud dataset (CVPR 2021)

A 3D Scene Registration Method via Covariance Descriptors and an Evolutionary Stable Strategy Game Theory Solver

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Repository for Handy 3D Scanner

Unity VFX with point cloud

Point Cloud Compression used in i3s Scene Layer Format

[CVPR 2020 Oral] A differentiable framework for 3D registration

A point cloud visualisation and analysis library for Processing.

A point-cloud made from 3d data with Metal.

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

Potree point cloud viewer library core components for easier integration in a three.js project.

点云测体积Demo：用Kinect+PCL点云库测量方体体积。

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Migrated to: https://gitlab.com/Oslandia/lopocs

recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

A Basic Example Of Visualising Point Clouds In ARKit