A plane tracker for AEC-automation applications

Chen Feng, Vineet R. Kamat

Research output: Contribution to conferencePaperpeer-review


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 languageEnglish (US)
StatePublished - 2012
Event29th International Symposium of Automation and Robotics in Construction, ISARC 2012 - Eindhoven, Netherlands
Duration: Jun 26 2012Jun 29 2012


Other29th International Symposium of Automation and Robotics in Construction, ISARC 2012


  • AR registration
  • Context-aware computing
  • Information technology
  • Tracking

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Modeling and Simulation


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