Hardy–Ramanujan theorem: Difference between revisions

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[[Image:GermanCountryRoad by David Gudelius.jpg|right|thumb|250px|An example of an unbiased render using [[Indigo Renderer]]]]
In [[computer graphics]], '''unbiased rendering''' refers to a [[rendering (computer graphics)|rendering]] technique that does not introduce any systematic error, or [[bias of an estimator|bias]], into the [[rendering equation|radiance approximation]]. Because of this, it is often used to generate the reference image to which other rendering techniques are compared. Mathematically speaking, the [[expected value]] of the unbiased [[estimator]] will always be the population mean, for any number of observations. Error found in an unbiased rendering will be due to [[variance]], which manifests itself as high-frequency noise in the resultant image. Variance is reduced by <math>n</math> and standard deviation by <math>\sqrt{n}</math> for <math>n</math> data points, meaning that four times as many data points are needed to halve the standard deviation of the error. This makes unbiased rendering techniques less attractive for realtime or interactive rate applications. Conversely, an image produced by an unbiased renderer that appears smooth and noiseless is probabilistically correct.
 
A biased rendering method is not necessarily wrong, and it can still converge to the correct answer if the estimator is [[consistent estimator|consistent]]. It does, however, introduce a certain [[bias of an estimator|bias error]], usually in the form of a blur, in efforts to reduce the variance (high-frequency noise). It is important to note that an unbiased technique may not consider all possible paths. [[Path tracing]] can not consistently handle [[caustic (optics)|caustics]] generated from a point light source, as it is highly unlikely to randomly generate the path that directly reflects into the point. Progressive photon mapping (PPM), a biased rendering technique, can handle caustics quite well. PPM is also provably consistent, meaning that as the number of samples goes to [[infinity]], the bias error goes to zero, and the probability that the estimate is correct reaches one.
 
Unbiased rendering methods include:
*[[Path_tracing|Path Tracing]]
*Light tracing
*[[Path_tracing#Bidirectional_path_tracing|Bidirectional path tracing]]
*[[Metropolis light transport]] (and derived Energy Redistribution Path Tracing<ref name=erpt>{{cite web|title=Energy Redistribution Path Tracing|url=http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.5938|publisher=Brigham Young University|accessdate=14 August 2011|author=David Cline, Justin Talbot, Parris Egbert}}</ref>)
*[[Stochastic progressive photon mapping]]<ref>http://www.luxrender.net/wiki/SPPM</ref>
 
==Unbiased renderers==
*[[Arnold (software)|Arnold]]<ref name=arnold2001>{{cite web|title=State of the Art in Monte Carlo Ray Tracing for Realistic Image Synthesis|url=http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.6918|author=James Arvo, Marcos Fajardo, Pat Hanrahan, Henrik Wann Jensen, Don Mitchell, Matt Pharr, Peter Shirley|publisher=SIGGRAPH 2001 Courses}}</ref>
*[[Luxrender]]
*[[Fryrender]]
*[[Indigo Renderer]]
*[[Maxwell Render]]
*[[Octane Render]]
*[[NOX renderer]]
*[[Thea render]]
*[[Kerkythea]] (Hybrid)
*[[mental ray]] (optional)
*[[VRay]] (optional)
*[[KeyShot]]
* Mantra
*[[Mitsuba Render]]
*[[Guerilla Render]]
 
==See also==
*[[Global illumination]]
 
==References==
{{reflist}}
 
==Bibliography==
<div class="references-small">
* {{cite web|url=http://randomcontrol.com/component/rcfaq/?faqid=1&id=3|title=fryrender F.A.Q.|publisher=RandomControl, SLU|accessdate=2010-05-20}}
* {{cite web|url=http://renderspud.blogspot.com/2006/10/biased-vs-unbiased-rendering.html|title=Biased vs Unbiased Rendering|work=RenderSpud|author=Mike Farnsworth|accessdate=2010-05-20}}
* {{cite web|url=http://www.3dworldmag.com/2010/01/15/how_to_choose_rendering_software_part_2/|title=How to choose rendering software}}
</div>
 
[[Category:3D rendering]]
 
 
{{compu-graphics-stub}}

Revision as of 06:07, 14 December 2013

An example of an unbiased render using Indigo Renderer

In computer graphics, unbiased rendering refers to a rendering technique that does not introduce any systematic error, or bias, into the radiance approximation. Because of this, it is often used to generate the reference image to which other rendering techniques are compared. Mathematically speaking, the expected value of the unbiased estimator will always be the population mean, for any number of observations. Error found in an unbiased rendering will be due to variance, which manifests itself as high-frequency noise in the resultant image. Variance is reduced by and standard deviation by for data points, meaning that four times as many data points are needed to halve the standard deviation of the error. This makes unbiased rendering techniques less attractive for realtime or interactive rate applications. Conversely, an image produced by an unbiased renderer that appears smooth and noiseless is probabilistically correct.

A biased rendering method is not necessarily wrong, and it can still converge to the correct answer if the estimator is consistent. It does, however, introduce a certain bias error, usually in the form of a blur, in efforts to reduce the variance (high-frequency noise). It is important to note that an unbiased technique may not consider all possible paths. Path tracing can not consistently handle caustics generated from a point light source, as it is highly unlikely to randomly generate the path that directly reflects into the point. Progressive photon mapping (PPM), a biased rendering technique, can handle caustics quite well. PPM is also provably consistent, meaning that as the number of samples goes to infinity, the bias error goes to zero, and the probability that the estimate is correct reaches one.

Unbiased rendering methods include:

Unbiased renderers

See also

References

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Bibliography


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