Tracking Object Motion Across Aspect Changes for Augmented Reality
Sai Ravela · Scholarworks (University of Massachusetts Amherst) · 1996
A model registration system capable of tracking an object through distinct aspects in real-time is presented. The system integrates tracking, pose determination, and aspect graph indexing. The tracking combines steerable filters with normalized crosscorrelation, compensates for rotation in 2D and is adaptive. Robust statistical methods are used in the pose estimation to detect and remove mismatches. The aspect graph is used to determine when features will disappear or become difficult to track and to predict when and where new features will become trackable. The overall system is stable and is amenable to real-time performance. 1 Introduction Maintaining object registration over time (temporal registration) can be defined as the ability to retain up-to-date object-sensor pose relationships over relative motion. Registration is useful in several domains. As an example consider augmented reality applications such as an interactive repair manual. In this application technicians look t...