From Interactive to Adaptive Augmented Reality

From Interactive to Adaptive Augmented Reality
Gabriele Bleser, Didier Stricker
Ubiquitous Virtual Reality (ISUVR), 2012 International Symposium on International Symposium on Ubiquitous Virtual Reality (ISUVR-12), August 22-25, Daejeon, Korea, Republic of

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.

Back to the overview

From Interactive to Adaptive Augmented Reality

From Interactive to Adaptive Augmented Reality
(Hrsg.)
Ubiquitous Virtual Reality (ISUVR), 2012 International Symposium on International Symposium on Ubiquitous Virtual Reality (ISUVR-12), August 22-25, Daejeon, Korea, Republic of

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.

Back to the overview