Title :
Natural feature tracking in JavaScript
Author :
Oberhofer, Christoph ; Grubert, Jens ; Reitmayr, Gerhard
Author_Institution :
Inst. for Comput. Graphics & Vision, Univ. of Technol. Graz, Graz, Austria
Abstract :
We present an efficient natural feature tracking pipeline solely implemented in JavaScript. It is embedded in a web technology-based Augmented Reality system running plugin-free in web browsers. The evaluation shows that real-time framerates on desktop computers and while on smartphones interactive framerates are achieved.
Keywords :
Internet; Java; augmented reality; feature extraction; online front-ends; pipeline processing; smart phones; JavaScript; Web browsers; desktop computers; efficient natural feature tracking pipeline; interactive framerates; plugin-free Web technology based augmented reality system; real-time framerates; smart phones; Augmented reality; Browsers; Fires; Mobile communication; Pipelines; Real time systems; Smart phones; Augmented Reality; HTML5; JavaScript; Natural Feature Tracking; Web Technology; WebGL;
Conference_Titel :
Virtual Reality Short Papers and Posters (VRW), 2012 IEEE
Conference_Location :
Costa Mesa, CA
Print_ISBN :
978-1-4673-1247-9
DOI :
10.1109/VR.2012.6180908
