3 Repos
Tools for identifying and tracking concentric circle markers with sub-pixel precision for scene alignment.
Distinct from Data Markers: Distinct from data markers: focuses on computer vision-based fiducial tracking for camera alignment.
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Meshroom is a node-based photogrammetry software designed to transform collections of two-dimensional images into three-dimensional models and scene geometry. It provides a visual interface for constructing and managing modular data pipelines, allowing users to automate complex computer vision tasks such as feature extraction, depth map estimation, and mesh generation. The software distinguishes itself through a distributed computational framework that dispatches resource-intensive tasks across local hardware or remote render farms. By utilizing a directed acyclic graph execution model, it en
Identifies and tracks concentric circle markers in images to support robust camera tracking and scene alignment.
AR.js is a JavaScript library for building augmented reality experiences that run directly in the web browser. It provides the core capability to render digital content overlaid on the real world using either the A-Frame HTML component system or the three.js JavaScript library, supporting both marker-based and location-based AR approaches. The library enables tracking of predefined 2D images, fiducial markers, and image targets through the device camera, allowing virtual objects such as 3D models, videos, or images to be positioned relative to recognized visual references. For location-based
Recognizes stable marker patterns via the camera and displays augmented content on them.
opentrack is head tracking software for simulators that measures a user's head orientation using cameras, sensors, or a smartphone's gyroscope and sends the data to flight simulators and games for immersive view control. It detects printed fiducial markers from a webcam feed to compute head rotation angles with sub‑degree accuracy, and it can also stream orientation data from a phone's IMU over a local network, replacing dedicated hardware. A plugin‑based pipeline architecture drives the tracking process through a configurable chain of input, filter, and output modules connected by a shared da
Detects printed fiducial markers from a webcam feed to compute head rotation angles with sub-degree accuracy.