Course Outline
Introduction & Current State of ARToolKit
- History and evolution to artoolkitX, open-source maintenance
- Marker-based vs natural feature tracking, barcode marker support
- Supported platforms (Android, iOS, desktop) and plugin integrations (Unity, OpenSceneGraph)
Setting up the Environment
- Installing artoolkitX, SDKs for mobile platforms
- Setting up Unity or OpenSceneGraph integration
- Configuring permissions for camera, GPS, compass, and file access
Markers, Calibration & Natural Feature Tracking
- Creating and using square markers and barcode markers
- Natural feature tracking (NFT): principles and workflows
- Camera calibration, distortion correction, stereo camera support
Overlaying Virtual Content & Rendering
- 2D and 3D content overlay over live camera feed
- Lighting, occlusion and shader basics for realistic rendering
- Performance considerations on mobile: optimizing frame rate and memory usage
Sensor Integration & External Inputs
- Using GPS and compass data to orient AR content relative to the real world
- Accessing camera properties, recognizing focal length and sensor calibration
- Integration with OpenCV for image preprocessing and enhancements (eg filtering, stabilization)
Using External Engines (Unity / OpenSceneGraph)
- Setting up a project in Unity with ARToolKit plugin
- Syncing ARToolKit marker/NFT tracking data into Unity scenes
- Using OpenSceneGraph for advanced rendering or GPU-based 3D content
Troubleshooting, Performance & Deployment
- Common issues: lighting, marker detection failure, delays
- Optimizing for mobile: texture sizes, multi-threading, memory usage
- Packaging for Android / iOS, testing on real devices, debugging tools
Summary and Next Steps
Requirements
- Programming experience in any language
- Basic understanding of 3D graphics or rendering concepts
- Familiarity with mobile development environment setup
Audience
- Mobile and AR developers
- Computer vision engineers
- Interactive media developers
Testimonials (5)
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Miguel's knowledge of the subject was extensive. He made the training easy to understand and the flow was balanced; adding on to each section with new features as needed. He covered everything that was asked and answered each and every question thoroughly. It was a very pleasant experience.
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Practical answers from the trainer, backed by programming experience.
Igor Firak
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1. Deep knowledge and extensive experience of the trainer 2. Accessible way of presenting material - every doubt was explained, every question answered 3. High personal culture of the trainer 4. The trainer was very direct and at the same time polite. 5. The trainer made it very easy to establish contact. After two hours of training, he became part of the team. 6. The dynamic way of conducting classes and the motivating approach from the trainer. During the classes, we were given a series of challenging tasks related to topics I did not understand before starting the training and which I had tried to solve as part of my personal interests. We performed these tasks independently, with support from the trainer. The amount and pace of solving tasks were very intensive, providing additional satisfaction. 7. The program was adapted to the needs of the group by expanding parts of the material.
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