Abstract
Purpose: We propose a new registration algorithm and computing framework, the keg tracker, for estimating a camera's position and orientation for a general class of mobile context-aware applications in architecture, engineering, and construction (AEC). Method: By studying two classic types of natural marker-based registration algorithms, homography-from-detection and homography-from-tracking, and overcoming their specific limitations of jitter and drift, our method applies two global constraints (geometric and appearance) to prevent tracking errors from propagating between consecutive frames. Results & Discussion: The proposed method is able to achieve an increase in both stability and accuracy, while being fast enough for real-time applications. Experiments on both synthesized and real world test cases demonstrate that our method is superior to existing state-of-the-art registration algorithms. The paper also explores several AEC-applications of our method in context-aware computing and desktop augmented reality.
Original language | English (US) |
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DOIs | |
State | Published - 2012 |
Event | 29th International Symposium of Automation and Robotics in Construction, ISARC 2012 - Eindhoven, Netherlands Duration: Jun 26 2012 → Jun 29 2012 |
Other
Other | 29th International Symposium of Automation and Robotics in Construction, ISARC 2012 |
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Country/Territory | Netherlands |
City | Eindhoven |
Period | 6/26/12 → 6/29/12 |
Keywords
- AR registration
- Context-aware computing
- Information technology
- Tracking
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Modeling and Simulation