Point cloud registration pipeline for robot localization and 3D perception

🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.

Point cloud map evaluation library for the FusionPortable dataset. Metrics include Mean Map Entropy (MME), RMSE, Accuracy(mean error), Precision(standard deviation), completeness(overlap ratio), chamfer distance and F1-score at all levels of 1/2/5/10/20cm.

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

Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance (ICCV2023)

[TITS] reliable dense matching based point cloud registration for autonomous driving

Linewise Non-Rigid Point Cloud Registration (C++)

[ICCV 2021] CPD with Local Surface Geometry (LSG-CPD)

《IEEE TNNLS》RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations

Object recognition and 6 DoF pose estimation.

《IEEE TCSVT》INENet: Inliers Estimation Network with Similarity Learning for Partial Overlapping Registration

Source code of generalized shuffled linear regression

6 DoF pointcloud registration

LeManchot-Points is a system for fusion of multi-modal data captured by our data acquisition system

This repository contains sensor fusion between a lidar and camera, semantic segmentation on point clouds and ICP registration of multiple point clouds.

Pointcloud Registration Algorithm with noise and different scale management

Multi Method Lidar Odometry is a lightweight Lidar Odometry library with GUI

Neste Jupyter Notebook ensino como manipular nuvens de pontos 3D com diversas bibliotecas do python. Diversos exemplos de visualização, pré-processamento, registro e alimentação de uma rede neural (MLP) com nuvens de pontos 3D são comentados e testados.

slam

Command-line interface tool designed for photogrammetry tasks using Meshroom's AliceVision and CloudCompare