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@InProceedings{DebattistaChal:2005:CoAdSa,
               author = "Debattista, Kurt and Chalmers, Alan",
          affiliation = "{University of Bristol}",
                title = "Component-based adaptive sampling",
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
                         C{\'e}sar",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "high-fidelity graphics, adaptive sampling, component-based 
                         rendering.",
             abstract = "High-fidelity renderings of virtual environments is a notoriously 
                         computationally expensive task. One commonly used method to 
                         alleviate the costs is to adaptively sample the rendered images 
                         identifying the required number of samples according to the 
                         variance of the area thus reducing aliasing and concurrently 
                         reducing the total number of rays shot. When using ray tracing 
                         algorithms, the traditional method is to shoot a number of rays 
                         and depending on the difference between the radiance of the 
                         samples further rays may be shot. This approach fails to take into 
                         account that different components of a material reflecting light 
                         may exhibit more coherence than others. With this in mind we 
                         present a component-based adaptive sampling algorithm that renders 
                         components individually and adaptively samples at the component 
                         level, finally composting the result to produce a full solution. 
                         Results demonstrate a significant improvement in performance 
                         without any perceptual loss in quality.",
  conference-location = "Natal",
      conference-year = "9-12 Oct. 2005",
             language = "en",
           targetfile = "debattistak_component.pdf",
        urlaccessdate = "2020, Dec. 04"
}


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