Analytic Antialiasing for Selective High Fidelity Rendering

P Longhurst, D Kundu, R Gillibrand, A Chalmers

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

8 Citations (Scopus)

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.
Translated title of the contributionAnalytic Antialiasing for Selective High Fidelity Rendering
Original languageEnglish
Title of host publicationUnknown
PublisherIEEE Computer Society
Pages359 - 366
Number of pages7
ISBN (Print)0769523897
Publication statusPublished - Oct 2005

Bibliographical note

Conference Proceedings/Title of Journal: SIBGRAPI 2005

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