Browsing by Author "Lerner, A."

Now showing items 1-6 of 6

    • Conference Object  

      Breaking the walls: Scene partitioning and portal creation 

      Lerner, A.; Chrysanthou, Yiorgos L.; Cohen-Or, D. (IEEE Computer Society, 2003)
      In this paper, we revisit the cells-and-portals visibility methods, originally developed for the special case of architectural interiors. We define an effectiveness measure for a cells-and-portals partitioning, and introduce ...
    • Article  

      Context-dependent crowd evaluation 

      Lerner, A.; Chrysanthou, Yiorgos L.; Shamir, A.; Cohen-Or, D. (2010)
      Many times, even if a crowd simulation looks good in general, there could be some specific individual behaviors which do not seem correct. Spotting such problems manually can become tedious, but ignoring them may harm the ...
    • Article  

      Crowds by example 

      Lerner, A.; Chrysanthou, Yiorgos L.; Lischinski, D. (2007)
      We present an example-based crowd simulation technique. Most crowd simulation techniques assume that the behavior exhibited by each person in the crowd can be defined by a restricted set of rules. This assumption limits ...
    • Article  

      Data driven evaluation of crowds 

      Lerner, A.; Chrysanthou, Yiorgos L.; Shamir, A.; Cohen-Or, D. (2009)
      There are various techniques for simulating crowds, however, in most cases the quality of the simulation is measured by examining its "look-and- feel". Even if the aggregate movement of the crowd looks natural from afar, ...
    • Article  

      Efficient cells-and-portals partitioning 

      Lerner, A.; Chrysanthou, Yiorgos L.; Cohen-Or, D. (2006)
      In this paper we revisit the cells-and-portals visibility methods, originally developed for the special case of architectural interiors. We define an effectiveness measure for a cells-and-portals partition, and introduce ...
    • Conference Object  

      Fitting behaviors to pedestrian simulations 

      Lerner, A.; Fitusi, E.; Chrysanthou, Yiorgos L.; Cohen-Or, D. (2009)
      In this paper we present a data-driven approach for fitting behaviors to simulated pedestrian crowds. Our method annotates agent trajectories, generated by any crowd simulator, with action-tags. The aggregate effect of ...