Bidirectional Importance Sampling for Unstructured Direct Illumination.

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Title: Bidirectional Importance Sampling for Unstructured Direct Illumination.
Authors: Wang, Rui1, Åkerlund, Oskar2
Source: Computer Graphics Forum. Apr2009, Vol. 28 Issue 2, p269-278. 10p. 5 Color Photographs, 2 Diagrams, 1 Chart.
Subjects: Lighting software, Computer graphics software, Ray tracing algorithms, Computer graphics research, Three-dimensional imaging, Photorealism, Statistical sampling software, Computer software
Abstract: Recent research in bidirectional importance sampling has focused primarily on structured illumination sources such as distant environment maps, while unstructured illumination has received little attention. In this paper, we present a method for bidirectional importance sampling of unstructured illumination, allowing us to use the same method for sampling both distant as well as local/indirect sources. Building upon recent work in [ WFA*05 ], we model complex illumination as a large set of point lights. The subsequent sampling process draws samples only from this point set. We start by constructing a piecewise constant approximation for the lighting using an illumination cut [ CPWAP08 ]. We show that this cut can be used directly for illumination importance sampling. We then use BRDF importance sampling followed by sample counting to update the cut, resulting in a bidirectional distribution that closely approximates the product of the illumination and BRDF. Drawing visibility samples from this new distribution significantly reduces the sampling variance. As a main advance over previous work, our method allows for unstructured sources, including arbitrary local direct lighting and one-bounce of indirect lighting. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Bidirectional Importance Sampling for Unstructured Direct Illumination.
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Apr2009, Vol. 28 Issue 2, p269-278. 10p. 5 Color Photographs, 2 Diagrams, 1 Chart.
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  Data: <searchLink fieldCode="DE" term="%22Lighting+software%22">Lighting software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+software%22">Computer graphics software</searchLink><br /><searchLink fieldCode="DE" term="%22Ray+tracing+algorithms%22">Ray tracing algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+research%22">Computer graphics research</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Photorealism%22">Photorealism</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling+software%22">Statistical sampling software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink>
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  Data: Recent research in bidirectional importance sampling has focused primarily on structured illumination sources such as distant environment maps, while unstructured illumination has received little attention. In this paper, we present a method for bidirectional importance sampling of unstructured illumination, allowing us to use the same method for sampling both distant as well as local/indirect sources. Building upon recent work in [ WFA*05 ], we model complex illumination as a large set of point lights. The subsequent sampling process draws samples only from this point set. We start by constructing a piecewise constant approximation for the lighting using an illumination cut [ CPWAP08 ]. We show that this cut can be used directly for illumination importance sampling. We then use BRDF importance sampling followed by sample counting to update the cut, resulting in a bidirectional distribution that closely approximates the product of the illumination and BRDF. Drawing visibility samples from this new distribution significantly reduces the sampling variance. As a main advance over previous work, our method allows for unstructured sources, including arbitrary local direct lighting and one-bounce of indirect lighting. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1111/j.1467-8659.2009.01366.x
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 269
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      – SubjectFull: Lighting software
        Type: general
      – SubjectFull: Computer graphics software
        Type: general
      – SubjectFull: Ray tracing algorithms
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      – SubjectFull: Computer graphics research
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      – SubjectFull: Three-dimensional imaging
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      – SubjectFull: Photorealism
        Type: general
      – SubjectFull: Statistical sampling software
        Type: general
      – SubjectFull: Computer software
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      – TitleFull: Bidirectional Importance Sampling for Unstructured Direct Illumination.
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            NameFull: Wang, Rui
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              M: 04
              Text: Apr2009
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              Y: 2009
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