point-cloud-processing
There are 45 repositories under point-cloud-processing topic.
Yochengliu/awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
TianhaoFu/Awesome-3D-Object-Detection
Papers, code and datasets about deep learning for 3D Object Detection.
Colin97/MSN-Point-Cloud-Completion
Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)
mikeroyal/ISP-Guide
Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
libLAS/libLAS
C++ library and programs for reading and writing ASPRS LAS format with LiDAR data
pglira/simpleICP
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
PRBonn/4DMOS
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
jiachens/ModelNet40-C
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
tiangexiang/CurveNet
[ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
princeton-vl/SimpleView
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
coperception/coperception
An SDK for multi-agent collaborative perception.
ai4ce/DiscoNet
[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception
Lewis-Stuart-11/3DGS-to-PC
3DGS-to-PC: Convert a 3D gaussian splatting scene into a dense point cloud or basic mesh with advanced customisation options and high-accuracy rendered point colours
HaochengWan/PVT
PVT: Point-Voxel Transformer for 3D Deep Learning
qinzheng93/GraphSCNet
[CVPR2023] Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
acschaefer/ple
Probabilistic line extraction from 2-D range scan
codearxiv/PCReconstruct
Point cloud completion tool based on dictionary learning. Takes a PCL point cloud surface and fills in gaps or densifies sparse regions by learning from the various surface features of the cloud. This is done using a variation of the k-SVD dictionary learning algorithm that allows for continuous atoms and dealing with unstructured point cloud data. Written in Qt C++, using Eigen, OpenMP, and OpenGL.
enesgokdemir/visualize-point-clouds
Introduction to Point Cloud Processing
zhoujianling/PointCloudUtilities
Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...
dhyuan99/VecKM
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
Blickfeld/blickfeld-scanner-lib
Cross-platform library to communicate with LiDAR devices of the Blickfeld GmbH.
phygitalism/azure-kinect-pcl
Point cloud segmentation with Azure Kinect
PengfeiRen96/IPNet
[AAAI 2023 Distinguished Paper] Two Heads are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation
diffCheckOrg/diffCheck
diffCheck is a CAD-integrated tool for evaluating digital timber fabrication processes.
MurpheyLab/FLS
FLS point cloud registration library.
auniquesun/Point-PRC
[NeurIPS 2024] Official implementation of the paper "Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis"
rjtshrm/point-normals-upsampling
Efficient Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
auniquesun/pointer
Point TransformER - Paper Collection of Transformer based, Unsupervised and Self-supervised Point Cloud Understanding
issacchan26/mesh-processing
Python scripts for converting mesh formats, mesh simplification and mesh rigid transformation
maggielovedd/3D-Point-Cloud-Curve-Extraction-and-Optimization
This code is designed to extract a representative curve (or a thin center line) from a noisy 3D point cloud, especially when the point cloud has discernible geometric patterns. Given a noisy point cloud that has an inherent structure or shape, the goal is to identify and trace a continuous curve that best captures the essence of that shape.
Sudharsan10/Lidar_Obstacle_Detection
In this project we detect, segment and track the obstacles of an ego car and its custom implementation of KDTree, obstacle detection, segmentation, clustering and tracking algorithm in C++ and compare it to the inbuilt algorithm functions of PCL library on a LiDAR's point cloud data.
issacchan26/point-cloud-annotation
PCD annotation processing and guideline based on Semantic Segmentation Editor
Dostoyewski/PointCloudRegistration
Registration of human MRT point clouds
andrefdre/Dora_the_mug_finder_SAVI
Dora The Mug Finder: Detection and classification of items placed on top of a table using point cloud processing and neural networks.
haoyuhsu/spovt
Official Pytorch implementation of paper: "SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion"
m-shahbaz-kharal/LiGuard-JOSS
A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.