DocumentCode :
3272921
Title :
From Interactive to Adaptive Augmented Reality
Author :
Stricker, Didier ; Bleser, Gabriele
Author_Institution :
German Res. Center for Artificial Intell., Univ. of Kaiserslautern, Kaiserslautern, Germany
fYear :
2012
fDate :
22-25 Aug. 2012
Firstpage :
18
Lastpage :
21
Abstract :
This paper presents several results from the research department "Augmented Vision" of the German Research Center for Artificial Intelligence. The driving idea of this work is to move from traditional Augmented Reality (AR) systems, which are often limited to visualization and tracking components, to AR cognitive systems, which have or gradually build knowledge about the situation and intentions of the user. Such systems will basically be much more unobtrusive and adapt the information presentation to the users\´ actual needs. To reach this goal, strong progress must be done in several areas, starting with 3D scene digitalization and analysis, body modeling and motion capturing, and action and workflow recognition. An overview of current results and work-in-progress of the Augmented Vision group in those areas is presented and finally discussed.
Keywords :
artificial intelligence; augmented reality; cognitive systems; computer vision; knowledge engineering; natural scenes; solid modelling; 3D scene analysis; 3D scene digitalization; AR cognitive systems; Augmented Vision; German Research Center for Artificial Intelligence; action recognition; adaptive augmented reality; augmented vision group work-in-progress; body modeling; information presentation; interactive augmented reality; motion capturing; user intentions; workflow recognition; Augmented reality; Cameras; Image reconstruction; Robustness; Solid modeling; Tracking; Videos; 3D scene reconstruction; adaptive augmented reality; on-body sensor network; task recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Virtual Reality (ISUVR), 2012 International Symposium on
Conference_Location :
Adaejeon
Print_ISBN :
978-1-4673-2258-4
Type :
conf
DOI :
10.1109/ISUVR.2012.15
Filename :
6296800
Link To Document :
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