author = "Maia, Jos{\'e} Gilvan Rodrigues and Vidal, Creto Augusto and 
                         Cavalcante-Neto, Joaquim Bento",
          affiliation = "{Universidade Federal do Cear{\'a} - UFC}",
                title = "Transformation Semantics: An Efficient Approach for Collision 
            booktitle = "Proceedings...",
                 year = "2006",
               editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19. 
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Collision Detection, Polygonal Meshes.",
             abstract = "Collision detection is an important problem in many kinds of 
                         applications. This work presents an efficient approach for exact 
                         collision detection between complex, deformable models. The 
                         approach consists of a method for fast extraction of semantics 
                         from transformation matrices which places models in a scene, 
                         together with a general strategy for fast intersection tests. 
                         Non-uniform scaling is also supported efficiently. Our experiments 
                         demonstrate that our strategies are well suitable for real-time 
  conference-location = "Manaus",
      conference-year = "8-11 Oct. 2006",
             language = "en",
           targetfile = "gilvan-sibgrapi2006_final.pdf",
        urlaccessdate = "2020, Nov. 28"