An anti-aliasing method for parallel rendering

Sam Lin, Rynson W. H. Lau, Xiaola Lin, P. Y.S. Cheung

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper describes a parallel rendering method based on the adaptive supersampling technique to produce anti-aliased images with minimal memory consumption. Unlike traditional supersampling methods, this one does not supersample every pixel, but only those edge pixels. In this paper, we consider various strategies to reduce the memory consumption in order for the method to be applicable in situations where limited or fixed amount of pre-allocated memory is available. This is a very important issue, especially in parallel rendering. We have implemented our algorithm on a parallel machine based on the message-passing model. Towards the end of the paper, we present some experimental results on the memory usage and the performance of the method.
Original languageEnglish
Title of host publicationProceedings - Computer Graphics International
PublisherIEEE
Pages228-235
ISBN (Print)0-8 186-8445-3
DOIs
Publication statusPublished - Jun 1998
Event1998 Computer Graphics International (CGI 1998) - Hannover, Germany
Duration: 22 Jun 199826 Jun 1998

Publication series

NameProceedings - Computer Graphics International, CGI 1998
Volume1998-January

Conference

Conference1998 Computer Graphics International (CGI 1998)
Abbreviated titleCGI 1998
PlaceGermany
CityHannover
Period22/06/9826/06/98

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