3D object reconstruction with multi-view RGB-D images.

Education, research and development using the Simultaneous Localization and Mapping (SLAM) method.

Import a point cloud file and perform poisson 3D surface reconstruction algorithm, integrated with third-party libraries (e.g. open3d, pymeshlab...)

Course submission material for Lidar point cloud based 3D Detection using Yolo for Udacity Self Driving Nanodegree

Simple 3D-Scanner/PCD generator using Intel Realsense L515 camera and rotation matrices

🦾 🎭 An OpenCV based python application to add 3D mask to videos using Google mediapipe

TDAzureMerger: a Point-Cloud Merger for Azure Kinects.

Python module to query an fetch the 3D-ARD project

3D Surface and Mesh Reconstruction from RGB Videos using COLMAP and Open3D

Type stubs for Open3D

A modular, high-fidelity 3D inspection framework for detecting geometric deviations in engineered components through CAD-referenced scan analysis, precise point cloud registration, and spatial deviation mapping.

Stereo camera depth estimation with opencv and visualization in Open3D on jetson nano with CUDA support

A Python-based photogrammetry pipeline for 3D reconstruction using COLMAP and Open3D. Features include feature extraction, matching, sparse/dense reconstruction, and texture mapping.

open3d-visualise-point-cloud-in-bin-format

Udacity Self Driving Car Nanodegree: sensor fusion midterm proj

RealSense Point Cloud Visualizer in Open3D-Python

This project estimates tree crown volumes using 3D modeling and high-resolution LiDAR datasets (AHN4 and Kavel_10) in Nijmegen, Netherlands. The study focuses on tree detection, biophysical parameter estimation, and crown volume mapping, highlighting applications in urban green space management and ecosystem services. Tools: Python, LiDAR, GIS soft

Data Generation: Data is a spherical projection of the 3-D meshes.

Collision Detection between two 3D objects using Open3D and Octrees