Server-free large scale image recognition, especially for mobile devics such as smartphones and tablets.

• Full control over your data: Trainable on your standard desktop
• Scalability: Local recognition of more than 10 000 images
• Extensibility: Support for learning new images at runtime
• Low latency: Local processing instead of network transfers
• Always available: No dependency on network status
• Ready for Augmented Reality: Tracking by detection for initialization of Natural Feature Trackers

Note: The original approach was developed at Graz University of Technology for Bundesdruckerei GmbH.

Publications:

• A. Hartl, D. Schmalstieg and G. Reitmayr. “Client-Side Mobile Visual Search”, Proceedings of the International Conference on Computer Vision Theory and Applications, 2014