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.
KISS-Matcher: Fast, Robust, and Scalable Registration for All Point Clouds
[RAL' 2025] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
MVP Benchmark for Multi-View Partial Point Cloud Completion and Registration
[RAL 2024] RANSAC Back to SOTA: A Two-Stage Consensus Filtering for Real-Time 3D 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.
6 DoF pointcloud registration
《IEEE TCSVT》INENet: Inliers Estimation Network with Similarity Learning for Partial Overlapping Registration
Source code of generalized shuffled linear regression
This repository contains sensor fusion between a lidar and camera, semantic segmentation on point clouds and ICP registration of multiple point clouds.
LeManchot-Points is a system for fusion of multi-modal data captured by our data acquisition system
Multi Method Lidar Odometry is a lightweight Lidar Odometry library with GUI
Pointcloud Registration Algorithm with noise and different scale management
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.
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