Exploring 3D computer vision and geometry processing with Open3D.

A visualisation engine for particle simulations

An easy-to-use and robust library for seamless interaction with OAK cameras and the DepthAI API. It aims to bridge the gap between the DepthAI API and SDK, allowing for built-in integration with OpenCV and Open3D "out-of-the-box."

Efficient and parallel algorithms for point cloud registration [C++, Python]

Lidar Obstacle Detection using RANSAC, PCA, and KD-tree Cluster

Three workflows based on aerial imagery or LiDAR point clouds to evaluate the surface available on rooftops by detecting objects.

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Duit is a Python library that provides a set of tools for working with data in a structured and efficient way.

Pointcloud-based graph SLAM written in C++ using open3D library.

A basic example of plane fitting in point cloud data using (RAN)dom (SA)mple (C)onsensus.

My personal guide to the great Python library Open3D.

A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.

Point cloud map evaluation library for the FusionPortable dataset. Metrics include Mean Map Entropy (MME), RMSE, Accuracy(mean error), Precision(standard deviation), completeness(overlap ratio), chamfer distance and F1-score at all levels of 1/2/5/10/20cm.

Addon to import different photogrammetry formats into Blender

Use the power of the Ope3d library with the visual scripting environment of Sverchok inside Blender

The aim of my project was to develop a user-friendly method for generating realistic 3D models and displaying them on smartphones using augmented reality. The only input required from the user is a short video of the desired object, which can be uploaded to the app. This project uses a modified version of Nvidia's Instant-NeRF.

Using PyTorch's MiDaS model and Open3D's point cloud to map a scene in 3D 🏞️🔭

Open3D: A Python Library for 3D Data Processing

Error State Kalman Filter based Loosely-Coupled Lidar-IMU Odometry

A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.