Non-Local Image Reconstruction for Efficient Computation of Synthetic Bidirectional Texture Functions.

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Title: Non-Local Image Reconstruction for Efficient Computation of Synthetic Bidirectional Texture Functions.
Authors: Schröder, K.1 ks@cs.uni-bonn.de, Klein, R.1 rk@cs.uni-bonn.de, Zinke, A.2 arno@lagoa.com
Source: Computer Graphics Forum. Dec2013, Vol. 32 Issue 8, p61-71. 11p.
Subjects: Rapid prototyping, Computer graphics software, Bidirectional associative memories (Computer science), Image reconstruction, Ray tracing algorithms
Abstract: Visual prototyping of materials is relevant for many computer graphics applications. A large amount of modelling flexibility can be obtained by directly rendering micro-geometry. While this is possible in principle, it is usually computationally expensive. Recently, bidirectional texture functions (BTFs) have become popular for efficient photorealistic rendering of surfaces. We propose an efficient system for the computation of synthetic BTFs using Monte Carlo path tracing of micro-geometry. We observe that BTFs usually consist of many similar apparent bidirectional reflectance distribution functions. By exploiting structural similarity we can reduce rendering times by one order of magnitude. This is done in a process we call non-local image reconstruction, which has been inspired by non-local means filtering. Our results indicate that synthesizing BTFs is highly practical and may currently only take a few minutes for BTFs with 70 × 70 viewing and lighting directions and 128 × 128 pixels. [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: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Dec2013, Vol. 32 Issue 8, p61-71. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Rapid+prototyping%22">Rapid prototyping</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+software%22">Computer graphics software</searchLink><br /><searchLink fieldCode="DE" term="%22Bidirectional+associative+memories+%28Computer+science%29%22">Bidirectional associative memories (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Ray+tracing+algorithms%22">Ray tracing algorithms</searchLink>
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  Data: Visual prototyping of materials is relevant for many computer graphics applications. A large amount of modelling flexibility can be obtained by directly rendering micro-geometry. While this is possible in principle, it is usually computationally expensive. Recently, bidirectional texture functions (BTFs) have become popular for efficient photorealistic rendering of surfaces. We propose an efficient system for the computation of synthetic BTFs using Monte Carlo path tracing of micro-geometry. We observe that BTFs usually consist of many similar apparent bidirectional reflectance distribution functions. By exploiting structural similarity we can reduce rendering times by one order of magnitude. This is done in a process we call non-local image reconstruction, which has been inspired by non-local means filtering. Our results indicate that synthesizing BTFs is highly practical and may currently only take a few minutes for BTFs with 70 × 70 viewing and lighting directions and 128 × 128 pixels. [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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        Value: 10.1111/cgf.12144
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        Text: English
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      – SubjectFull: Bidirectional associative memories (Computer science)
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      – SubjectFull: Ray tracing algorithms
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      – TitleFull: Non-Local Image Reconstruction for Efficient Computation of Synthetic Bidirectional Texture Functions.
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              Text: Dec2013
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              Y: 2013
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