plane-detection

Python library for fitting 3D primitive shapes to point clouds with RANSAC. Detect planes, spheres, cylinders, cuboids, circles, and lines.

A 3D plane detection approach using PointNet

[CVPR 2024] AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings

A python node to detect planes from depth image by using RANSAC algorithm. Input/Output from/to ROS topics.

Put objects on a plane. Use depth camera to find them and add label (for training Yolo).

A high-performance implementation of 3D RANSAC (Random Sample Consensus) algorithm using PyTorch and CUDA.

🌐 Self-hosted, offline-capable personal intelligence platform. 3D globe with live aircraft/vessel/satellite tracking, OSINT feeds, memory-linked AI chat powered by your own ChatGPT conversation history exports (ChromaDB + Ollama), and autonomous investigation — all running locally with zero API keys required.

Parallel RANSAC for plane detection for multiple point clouds using Python and CUDA

Go to releases to download. Somewhat complicated project that notifies you when a plane comes nearby. Made in python. Has ETA. Just message @planebotnotifierbot on telegram to get started no setup needed.

A foundational dive into 3D vision, this project served as my hands-on introduction to processing point clouds with Open3D. I focused on core skills like plane detection, segmentation, and understanding 3D transformations from the ground up.

3D reconstruction from stereo images using epipolar geometry.

Build a self-hosted intelligence dashboard that runs locally, protects your privacy, and improves with your use over time.

Manage self-hosted secure connectivity in Telegram with Node Plane for node setup, bootstrap, profiles, and access delivery

Semester project for my 3D Computer Geometry & Vision course.

Automated 3D architectural & structural plane extraction, topological trimming, and semantic classification from LiDAR / photogrammetry point clouds.