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ISMAR 2014 - Sep 10-12 - Munich, Germany
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Local Optimization for Natural Feature Tracking Targets

SCHEDULE INFORMATION

Event TitleRoomStartEnd
Posters Presentation - Batch 2TBA11 Sep, 2014 12:00 PM11 Sep, 2014 12:30 PM
Contributors: 
Elias Tappeiner
Contributors: 
Dieter Schmalstieg
Contributors: 
Tobias Langlotz
Description
In this work, we present an approach for optimizing targets for natural feature-based pose tracking such as used in Augmented Reality applications. Our contribution is an approach for locally optimizing a given tracking target instead of applying global optimizations, such as proposed in the literature. The local optimization together with visualized trackability rating leads to a tool to create high quality tracking targets.