Wachsmuth, Sven and Hanheide, Marc and Wrede, Sebastian and Bauckhage, Christian (2005) From images via symbols to contexts: using augmented reality for interactive model acquisition. In: KI 2005 Workshop on Mixed-reality as a Challenge to Image Understanding and Artificial Intelligence, September 11 - 14, 2005, Koblenz, Germany.
|Item Type:||Conference or Workshop Item (Paper)|
Wachsmuth2005-From_Images_via_Symbols_to_Contexts_Using_Augmented_Reality_for_Interactive_Model_Acquisition.pdf - Whole Document
|Divisions:||College of Science > School of Computer Science|
|Abstract:||Systems that perform in real environments need to bind the internal state to externally perceived objects, events, or complete scenes. How to learn this correspondence has been a long standing problem in computer vision as well as artificial intelligence. Augmented Reality provides an interesting perspective on this problem because a human user can directly relate displayed system results to real environments. In the following we present a system that is able to bootstrap internal models from user-system interactions. Starting from pictorial representations it learns symbolic object labels that provide the basis for storing observed episodes. In a second step, more complex relational information is extracted from stored episodes that enables the system to react on specific scene contexts.|
|Date Deposited:||30 Nov 2012 11:02|
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