218 Open source projects that are alternatives of or similar to Cloudcompare

A general 3D object detection codebse.

Display of Radiohead's House of Cards point cloud data

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

Point Cloud Library (PCL)

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

Render large point clouds and voxel grids with blender.

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...

Sample implementation of an application using KinectFusionLib

A small VEX raytracer for SideFX Houdini with photon mapping global illumination and full recursive reflections and refractions

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

User-friendly, commercial-grade software for processing aerial imagery. 🛩

Trescope is a comprehensive 3D machine learning development tool devoted to improve developing experience and speed in 3D field, which helps researchers and developers to label, debug, visualize various 3D data

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

OpenMMLab's next-generation platform for general 3D object detection.

A learned sampling approach for point clouds (CVPR 2019)

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

A resource repository for 3D machine learning

Polylidar3D - Fast polygon extraction from 3D Data

A lean C++ library for working with point cloud data

Frustum PointNets for 3D Object Detection from RGB-D Data

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

A curated list of awesome links and software libraries that are useful for robots.

This is the official implementation of RSNet.

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).

Regularized Graph CNN for Point Cloud Segmentation

Code for Pointwise Convolutional Neural Networks, CVPR 2018

[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Load 3MX/3MXB format LOD model files generated by Bentley ContextCapture into Unity.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Scripts showcasing filtering techniques applied to point cloud data.

3D Heritage Online Presenter

3D LIDAR-based Graph SLAM

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

PyTorch implementation of Pointnet2/Pointnet++

A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.

Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)

Keras implementation for Pointnet

Point cloud importer & renderer for Unity

Deep Hough Voting for 3D Object Detection in Point Clouds

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Fast and robust algorithm to extract edges in unorganized point clouds

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

A list of resources about deep learning solutions on 3D shape processing

Pytorch framework for doing deep learning on point clouds.

Lightweight and Accurate Point Cloud Clustering

Cluster based segmentation of Point Cloud with PCL lib in ROS

open Multi-View Stereo reconstruction library

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

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