272 Open source projects that are alternatives of or similar to roofn3d

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

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

Polylidar3D - Fast polygon extraction from 3D Data

Point Cloud Library (PCL)

ECCV 2020 papers focusing on point cloud analysis

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

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

Point Cloud Compression used in i3s Scene Layer Format

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

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

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

The public CGAL repository, see the README below

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Create 3D labelled bounding boxes in RViz

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

Implementation of the Point Transformer layer, in Pytorch

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

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

orb-slam2 with semantic label

Papers and Datasets about Point Cloud.

Code for PCN: Point Completion Network in 3DV'18 (Oral)

register 3D point clouds using rotation, translation, and scale transformations.

Robotics with GPU computing

No description or website provided.

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

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

Visualising LIDAR data from KITTI dataset.

Templated python inferface for Point Cloud Library (PCL) based on Cython

Python bindings for the Point Cloud Library (PCL)

No description or website provided.

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

L-CAS 3D Point Cloud Annotation Tool

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Experiments on unsupervised point cloud reconstruction.

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

3D Graph Neural Networks for RGBD Semantic Segmentation

Julia bindings for the displaz lidar viewer

Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

A hackable lidar viewer

Research platform for 3D object detection in PyTorch.

The open source mesh processing system

OpenCV .Net application supporting several RGBD cameras - Kinect, Intel RealSense, Luxonis Oak-D, Mynt Eye D 1000, and StereoLabs ZED 2

Efficient 3D Deep Learning

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Differentiable Surface Splatting

A high-performance neural network library for point cloud processing.

Global L0 algorithm for regularity-constrained plane fitting

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

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