Adapting to Dynamic Spatio- Temporal Errors in Mobile AR Systems Problem: Building mobile AR apps that work in realistic environments is too hard One key problem: spatial and temporal errors Project: Develop techniques/toolkits for building AR interfaces that adapt to changing errors Enable more complex/realistic AR applications to be built
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Adapting to Dynamic Spatio-Temporal Errors in Mobile AR Systems zProblem: Building mobile AR apps that work in realistic environments is too hard yOne.
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Adapting to Dynamic Spatio-Temporal Errors in Mobile AR Systems
Problem: Building mobile AR apps that work in realistic environments is too hard One key problem: spatial and temporal errors
Project: Develop techniques/toolkits for building AR interfaces that adapt to changing errors Enable more complex/realistic AR
applications to be built
Scientific Issues
Quantify error in a way that is useful to toolkit and application programmers
Develop techniques to adapt interfaces based on these errors
Define a useful programming model for AR interfaces Framework + components
Challenges
Understanding error of various tracking technologies a complete AR system (e.g., latency,
calibration)
Developing a robust AR system Calibration, performance