We are looking for applicants in Artificial Intelligence, Computer Vision, Edge Computing, Digital Twins, Human Computer Interaction, User Modelling, Robotics or Resilient Computing with potentials/achievements in informing space applications.
The post hoder will enjoy 1) a permanent (equivalent to US tenured) position at a top 100 university, 2) significantly reduced teaching, 3) a fully-funded PhD, 4) travel budget, 5) chance for a 2-year fully-funded Post-Doc.
Invited presentation at Eurographics 2019 Impact Factor: 2.5† Citation: 14#
Controlling a crowd using multi-touch devices appeals to the computer games and animation industries, as such devices provide a high dimensional control signal that can effectively define the crowd formation and movement. However, existing works relying on pre-defined control schemes require the users to learn a scheme that may not be intuitive. We propose a data-driven gesture-based crowd control system, in which the control scheme is learned from example gestures provided by different users. In particular, we build a database with pairwise samples of gestures and crowd motions. To effectively generalize the gesture style of different users, such as the use of different numbers of fingers, we propose a set of gesture features for representing a set of hand gesture trajectories. Similarly, to represent crowd motion trajectories of different numbers of characters over time, we propose a set of crowd motion features that are extracted from a Gaussian mixture model. Given a run-time gesture, our system extracts the K nearest gestures from the database and interpolates the corresponding crowd motions in order to generate the run-time control. Our system is accurate and efficient, making it suitable for real-time applications such as real-time strategy games and interactive animation controls.
TY - JOUR
Yijun Shen, Joseph Henry, He Wang, Edmond S. L. Ho, Taku Komura and Hubert P. H. Shum, "Data-Driven Crowd Motion Control with Multi-Touch Gestures," Computer Graphics Forum, vol. 37, no. 6, pp. 382-394, John Wiley and Sons Ltd., 2018.
Last updated on 17 February 2024