author = "Pinto, Francisco de Moura and Freitas, Carla Maria Dal Sasso",
          affiliation = "{UFRGS - Federal University of Rio Grande do Sul - Brazil} and 
                         {UFRGS - Federal University of Rio Grande do Sul - Brazil}",
                title = "Importance-Aware Composition for Illustrative Volume Rendering",
            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 = "Direct volume rendering, importance, composition.",
             abstract = "Non-photorealistic volume rendering, often referred as volume 
                         illustration, augments typical visualization methods to 
                         selectively emphasize or de-emphasize structures within a 
                         volumetric dataset. Illustrative visualization techniques may 
                         affect not only the rendering style of specific portions of the 
                         dataset but also their visibility, ensuring that less important 
                         regions do not occlude more important ones. Cutaway views 
                         completely remove occluding, unimportant structures possibly also 
                         removing valuable context information while current solutions for 
                         smooth reduction of occlusion based on importance lack precise 
                         visibility control, simplicity and generality. We introduce a new 
                         front-to-back sample composition equation for direct volume 
                         rendering that directly takes into account a measure of sample 
                         importance. The proposed method allows smooth and precise 
                         importance-based visibility control in single-pass volume 
                         rendering, assuring visibility of important structures. We provide 
                         a mathematical justification of our composition equation and 
                         demonstrate its generality by presenting several illustrative 
                         effects, which were obtained by using our composition method and a 
                         set of importance measures calculated on the fly.",
  conference-location = "Gramado",
      conference-year = "Aug. 30 - Sep. 3, 2010",
             language = "en",
           targetfile = "importance_composition.pdf",
        urlaccessdate = "2020, Dec. 03"