An intention based manipulation method of large models in virtual environment
Wang Dawei, Hongyan Yang · 2015
This paper proposes a big-span position tracking algorithm based on pre-position time series to determine the user operation intention in virtual environment. Some problems, such as lost subject and inconvenient operation, when a tracker is working on big-scale models, like an airplane or a ship, can't be solved well in an immersive virtual reality system. Based on the moving trajectory and speed of a tracker in a unit of time span, the tracking algorithm is a plus to the mainstream relative position algorithm. The algorithm can tell the magnitude and intensity of a user's operation. It makes it especially convenient to display large-scale models in the CAVE system. Cases are used in this thesis to prove the effectiveness and convenience of this algorithm.