pointcloudprocessing

cgtuebingen/Flex-Convolution

Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

horizon-research/PointCloud-pipeline

Configurable point cloud registration pipeline.

yuecideng/Multiple_Planes_Detection

A fast and simple method for multi-planes detection from point cloud

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.

smaillot/multiple-kinects-auto-calibration

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.

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.

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

aditirao7/robotics

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).

srijanpal07/3D-Semantic-Segmentation-From-2D-Images

Transforming 2D images into 3D semantically segmented scenes using innovative CNN architecture and COLMAP reconstruction.

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.

ferrellsl/LAS-Reader

Example code to read uncompressed LAS and compressed LAZ files easily using LASlib

iamAkshayrao/scilab_point_cloud_toolbox

Scilab toolbox to process point clouds

jon-terschan/OREF_microclimate

TLS processing pipeline creates for an ongoing microclimate investigation by the EDYSAN lab.

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.

I3ck/streamconv

Memory efficient conversion between pointcloud and mesh data formats

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.