Paper Info
Title
Efficient Pose Tracking from Natural Features in Standard Web Browsers.
Abstract
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).
Year
DOI
Venue
2018
10.1145/3208806.3208815
Web3D '18: The 23rd International Conference on 3D Web Technology Poznań Poland June, 2018
Keywords
DocType
Volume
web-based augmented reality, natural feature tracking, webassembly, asm.js, webxr, webar
Conference
abs/1804.08424
ISBN
Citations 
PageRank 
978-1-4503-5800-2
1
0.35
References 
Authors
14
3
Name
Order
Citations
PageRank
Fabian Göttl110.35
Philipp Gagel2102.74
Jens Grubert326626.98