@InProceedings{MauleMaciNede:2010:EfCoDe,
               author = "Maule, Marilena and Maciel, Anderson and Nedel, Luciana",
          affiliation = "{Universidade Federal do Rio Grande do Sul} and {Universidade 
                         Federal do Rio Grande do Sul} and {Universidade Federal do Rio 
                         Grande do Sul}",
                title = "Efficient Collision Detection and Physics-based Deformation for 
                         Haptic Simulation with Local Spherical Hash",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
         organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "GPGPU, physics-based animation, medical simulation, computer 
                         animation.",
             abstract = "While real time computer graphics rely on a frame rate of 30 
                         iterations per second to fool the eye and render smooth motion 
                         transitions, computer haptics deals with the sense of touch, which 
                         requires a higher rate of around 1kHz to avoid discontinuities. 
                         The use of haptics on interactive applications as surgical 
                         simulations or games, for instance, can highly improve the user 
                         experience, and the sense of presence. However, its use in complex 
                         simulations involving realistic rendering, deformable objects and 
                         collision detection requires the development of very performing 
                         algorithms. This paper presents an implementation of mass-spring 
                         system adapted to CUDA implementation, and a novel method for 
                         collision detection in haptic update rate. Important aspects of 
                         the port to parallel programming and the GPU architecture are 
                         addressed, as for example, strategy and frequency of memory 
                         access. A quantitative experiment is also.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "30 Aug.-3 Sep. 2010",
                  doi = "10.1109/SIBGRAPI.2010.10",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.10",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/387LRHL",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/387LRHL",
           targetfile = "LSH.pdf",
        urlaccessdate = "2024, Apr. 29"
}