pointclouds

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

A no dependency, header-only, license free, fast supervoxel segmentation library for 3D point clouds

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

Preprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.

[WACV 2021] Dynamic Plane Convolutional Occupancy Networks

We propose a framework that accurately derives the 3D tongue shape from single images. A high detailed 3D point cloud of the tongue surface and a full head topology along with the tongue expression can be estimated from the image domain.

Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

Using Euclidiean Clustering and RANSAC to detect Objects in Lidar captured Point Clouds (PCDs)

Color a point cloud using cameras in ROS

Fast 3D point cloud processing lib based on C++/cuda

Simple PCL bindings for Python and other utilities for processing point clouds.

Delft University of Technology MSc. Geomatics Synthesis (GEO1101) Project 5: 3D Representations for Visual Insight

Tree detection project for Rijkswaterstaat, carried out by the Spinlab (Vrije Universiteit Amsterdam)

Research notebooks on CV automation techniques

Code for the Didi/Udacity SDC Challenge 2017

2.5D-NDT map: version 1.0

A quick and easy kinect-to-pointcloud converter for MacOS/Swift/Cocoa.

Time to collision estimation Using YoloV3 and Projecting Lidar point clouds to 2d image for vehicle tracking

A DIY-box containing 2 Raspberry Pi cameras connected to a Raspberry Pi 3 to capture multiple stereo images and reconstruct a 3d pointcloud.

pcl_utils is a C++ Library for some helpful functions to be used with PCL library.

3ِD Change Detection In Point Cloud

Read point cloud's (LAS/LAZ) header in browser and node.js

A node package for loading and writing PLY files implemented in Typescript

A table top pointcloud segmentation using ROS

Time to collision based on lidar and camera data.

Code for Self-Supervised Few-Shot Learning on Point Clouds paper at NeurIPS 2020

Repo for robotics algorithms implemented in C++