@InProceedings{LonghurstDebaGillChal:2005:AnAnSe,
author = "Longhurst, Peter and Debattista, Kurt and Gillibrand, Richard and
Chalmers, Alan",
affiliation = "{University of Bristol} and {Department of Computer Science} and
{Merchant Venturers Building} and {Woodland Road} and Bristol. BS8
1UB, UK",
title = "Analytic antialiasing for selective high fidelity rendering",
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 = "Antialiasing.",
abstract = "Images rendered using global illumination algorithms are
considered amongst the most realistic in 3D computer graphics.
However, this high fidelity comes at a significant computational
expense. A major part of this cost arises from the sampling
required to eliminate aliasing errors. These errors occur due to
the discrete sampling of continuous geometry space inherent to
these techniques. In this paper we present a fast analytic method
for predicting in advance where antialiasing needs to be computed.
This prediction is based on a rapid visualisation of the scene
using a GPU, which is used to drive a selective renderer. We are
able to significantly reduce the overall number of anitialiasing
rays traced, producing an image that is perceptually
indistinguishable from the high quality image at a much reduced
computational cost.",
conference-location = "Natal, RN, Brazil",
conference-year = "9-12 Oct. 2005",
doi = "10.1109/SIBGRAPI.2005.11",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.11",
language = "en",
ibi = "6qtX3pFwXQZeBBx/GLuj8",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/GLuj8",
targetfile = "longhurstp_antialiasing.pdf",
urlaccessdate = "2024, Apr. 28"
}