EconPapers    
Economics at your fingertips  
 

Myths of Computer Graphics

Alexander Keller ()
Additional contact information
Alexander Keller: University of Ulm, Abt. Medieninformatik

A chapter in Monte Carlo and Quasi-Monte Carlo Methods 2004, 2006, pp 217-243 from Springer

Abstract: Summary Computer graphics textbooks teach that sampling by deterministic patterns or even lattices causes aliasing, which only can be avoided by random, i.e. independent sampling. They recommend random samples with blue noise characteristic, which however are highly correlated due to their maximized minimum mutual distance. On the other hand the rendering software mental ray, which is used to generate the majority of visual effects in movies, entirely is based on parametric integration by quasi-Monte Carlo methods and consequently is strictly deterministic. For its superior quality the software even received a Technical Achievement Award (Oscar) by the American Academy of Motion Picture Arts and Sciences in 2003. Along the milestones of more than ten years of development of quasi-Monte Carlo methods in computer graphics, we point out that the two previous statements are not contradictory.

Keywords: Computer Graphic; Image Synthesis; Radical Inverse; Halton Sequence; Unit Torus (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-31186-7_14

Ordering information: This item can be ordered from
http://www.springer.com/9783540311867

DOI: 10.1007/3-540-31186-6_14

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-12
Handle: RePEc:spr:sprchp:978-3-540-31186-7_14