Efficient Pose Tracking from Natural Features in Standard Web Browsers
This work addresses the need for more versatile and accessible pose tracking in web-based AR applications, though it appears incremental as it adapts existing methods to a new platform.
The paper tackled the problem of enabling efficient natural feature tracking for web-based augmented reality without relying on location-based or marker-based methods, achieving real-time frame rates of up to 60 Hz on tablets and 25 Hz on smartphones.
Computer Vision-based natural feature tracking is at the core of modern Augmented Reality applications. Still, Web-based Augmented Reality typically relies on location-based sensing (using GPS and orientation sensors) or marker-based approaches to solve the pose estimation problem. We present an implementation and evaluation of an efficient natural feature tracking pipeline for standard Web browsers using HTML5 and WebAssembly. Our system can track image targets at real-time frame rates tablet PCs (up to 60 Hz) and smartphones (up to 25 Hz).