pointcloudprocessing
There are 38 repositories under pointcloudprocessing topic.
TombstoneTumbleweedArt/import-ply-as-verts
Blender Python PLY importer for point clouds and nonstandard models.
cgtuebingen/Flex-Convolution
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
yuecideng/Multiple_Planes_Detection
A fast and simple method for multi-planes detection from point cloud
horizon-research/PointCloud-pipeline
Configurable point cloud registration pipeline.
JokerJohn/SLAMTools
A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.
yuecideng/Misc3D
A unified library for 3D data processing with both c++ and python API
fazanham/Ground-Extraction-From-Point-Cloud
This is a software for finely removing non-ground points from point clouds.
yuecideng/PrimitivesFittingLib
A unified library for fitting primitives from 3D point cloud data with both C++&Python API.
SterlingButters/Dash-Fractal-Explorer
MandelBrot Fractal Explorer
xmba15/aanet_stereo_matching_ros
ROS package for stereo matching and point cloud projection using AANet (Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020)
yucedagonurcan/PointCloudCUDAOps
Parallel LiDAR Point Cloud Preprocessing for Autonomous Driving Applications
abakisita/realsense_camera_wrapper
Minimal API for obtaining PCL pointcloud using Intel realsense camera.
englucrai/SFND_Lidar_and_obstacle_detection
Lidar project for obstacle detection using PointCloud library.
vortexntnu/vortex-cv
A repository for a set of perception and robotic vision modules, developed by students in Vortex NTNU for use in the AUV and ASV software stacks.
esteban-andrade/3D-Reconstructrion-Scanner
This is the implementation for the reconstruction of 3D scans. These uses multiple algorithms to scale and reconstruct the point cloud in order to obtain valid results
JJponciano/knowdip
The "Knowledge-based object Detection in Image and Point cloud" (KnowDIP) project aims at the conception of a framework for automatic object detection in unstructured and heterogeneous data. This framework uses a representation of human knowledge in order to improve the flexibility, accuracy, and efficiency of data processing.
lipeng-gu/PointeNet
[GMP2024 & CAGD] PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis
mohamadmarjani97/3D-Change-Detection
3ِD Change Detection In Point Cloud
omkarchittar/PointCloud_Classification_and_Segmentation
Implementing a PointNet based architecture for classification and segmentation with point clouds. Q1 and Q2 focus on implementing, training and testing models. Q3 asks you to quantitatively analyze model robustness.
srijanpal07/3D-Semantic-Segmentation-From-2D-Images
Transforming 2D images into 3D semantically segmented scenes using innovative CNN architecture and COLMAP reconstruction.
unprintio/research-notebooks
Research notebooks on CV automation techniques
YuePanEdward/PointCloudScissor
A useful tool to cut a set of point cloud into two parts with a designed IoU (overlapping)
aaryanmurgunde/pointcloud2_merge
Package that can be used to merge multiple sensor_msgs/PointCloud2
nicholasala/CloudInterpreter
Bachelor's thesis project with the aim of creating a tool that can offer the possibility of evaluate the accuracy of classifications identified in high-density point clouds
PointCloudYC/PointCloudAlgorithms
A curated list of awesome Point Cloud Processing algorithms
RubensBenevides/Vizualizando-e-operando-com-nuvens-de-pontos-em-Caderno-Jupyter
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.
Shahabaz-Bagwan/point-cloud-filters
Here you can find some commonly used algorithms in 3D image processing (3D Bildverarbeitung).
walkerdustin/Vergleich-von-Messmethoden-fuer-Punktwolken
Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.
jon-terschan/OREF_microclimate
TLS processing pipeline creates for an ongoing microclimate investigation by the EDYSAN lab.
noy-dayan/Photogrammetry-CLI
Command-line interface tool designed for photogrammetry tasks using Meshroom's AliceVision and CloudCompare
PanterSoft/SFA3D_ROS
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation) with added ROS integration
CharlesChiuGit/mitsuba2-wrapper
A wrapper repo to control mitsuba2 to render point cloouds and meshes in a more programmingly way.
jizhang02/Digital-Plants-Illumination-Simulation
Graduate Thesis 研究生毕业论文
Rad-hi/compy
A set of examples on the various ways to compile python code, with benchmarking.