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Biswarup Choudhury, and Sharat Chandran, A Survey of Image-based Relighting Techniques. JVRB - Journal of Virtual Reality and Broadcasting, 4(2007), no. 7. (urn:nbn:de:0009-6-21208)

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%0 Journal Article
%T A Survey of Image-based Relighting Techniques
%A Choudhury, Biswarup
%A Chandran, Sharat
%J JVRB - Journal of Virtual Reality and Broadcasting
%D 2009
%V 4(2007)
%N 7
%@ 1860-2037
%F choudhury2009
%X Image-based Relighting (IBRL) has recently attracted a lot of research interest for its ability to relight real objects or scenes, from novel illuminations captured in natural/synthetic environments. Complex lighting effects such as subsurface scattering, interreflection,shadowing, mesostructural self-occlusion, refraction and other relevant phenomena can be generated using IBRL. The main advantage of image-based graphics is that the rendering time is independent of scene complexity as the rendering is actually a process of manipulatingimage pixels, instead of simulating light transport.The goal of this paper is to provide a complete and systematic overview of the research in Imagebased Relighting. We observe that essentially all IBRL techniques can be broadly classified into three categories (Fig. 9), based on how the scene/illumination information is captured: Reflectance function-based, Basis function-based and Plenoptic function-based. We discussthe characteristics of each of these categories and their representative methods. We also discuss about the sampling density and types of light source(s), relevant issues of IBRL.
%L 004
%K Augmented Reality
%K Image-based Relighting
%K Image-based Techniques
%K Survey
%R 10.20385/1860-2037/4.2007.7
%U http://nbn-resolving.de/urn:nbn:de:0009-6-21208
%U http://dx.doi.org/10.20385/1860-2037/4.2007.7

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@Article{choudhury2009,
  author = 	"Choudhury, Biswarup
		and Chandran, Sharat",
  title = 	"A Survey of Image-based Relighting Techniques",
  journal = 	"JVRB - Journal of Virtual Reality and Broadcasting",
  year = 	"2009",
  volume = 	"4(2007)",
  number = 	"7",
  keywords = 	"Augmented Reality; Image-based Relighting; Image-based Techniques; Survey",
  abstract = 	"Image-based Relighting (IBRL) has recently attracted a lot of research interest for its ability to relight real objects or scenes, from novel illuminations captured in natural/synthetic environments. Complex lighting effects such as subsurface scattering, interreflection,shadowing, mesostructural self-occlusion, refraction and other relevant phenomena can be generated using IBRL. The main advantage of image-based graphics is that the rendering time is independent of scene complexity as the rendering is actually a process of manipulatingimage pixels, instead of simulating light transport.The goal of this paper is to provide a complete and systematic overview of the research in Imagebased Relighting. We observe that essentially all IBRL techniques can be broadly classified into three categories (Fig. 9), based on how the scene/illumination information is captured: Reflectance function-based, Basis function-based and Plenoptic function-based. We discussthe characteristics of each of these categories and their representative methods. We also discuss about the sampling density and types of light source(s), relevant issues of IBRL.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/4.2007.7",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-21208"
}

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TY  - JOUR
AU  - Choudhury, Biswarup
AU  - Chandran, Sharat
PY  - 2009
DA  - 2009//
TI  - A Survey of Image-based Relighting Techniques
JO  - JVRB - Journal of Virtual Reality and Broadcasting
VL  - 4(2007)
IS  - 7
KW  - Augmented Reality
KW  - Image-based Relighting
KW  - Image-based Techniques
KW  - Survey
AB  - Image-based Relighting (IBRL) has recently attracted a lot of research interest for its ability to relight real objects or scenes, from novel illuminations captured in natural/synthetic environments. Complex lighting effects such as subsurface scattering, interreflection,shadowing, mesostructural self-occlusion, refraction and other relevant phenomena can be generated using IBRL. The main advantage of image-based graphics is that the rendering time is independent of scene complexity as the rendering is actually a process of manipulatingimage pixels, instead of simulating light transport.The goal of this paper is to provide a complete and systematic overview of the research in Imagebased Relighting. We observe that essentially all IBRL techniques can be broadly classified into three categories (Fig. 9), based on how the scene/illumination information is captured: Reflectance function-based, Basis function-based and Plenoptic function-based. We discussthe characteristics of each of these categories and their representative methods. We also discuss about the sampling density and types of light source(s), relevant issues of IBRL.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-21208
DO  - 10.20385/1860-2037/4.2007.7
ID  - choudhury2009
ER  - 
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Wordbib

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<b:Title>A Survey of Image-based Relighting Techniques</b:Title>
<b:Comments>Image-based Relighting (IBRL) has recently attracted a lot of research interest for its ability to relight real objects or scenes, from novel illuminations captured in natural/synthetic environments. Complex lighting effects such as subsurface scattering, interreflection,shadowing, mesostructural self-occlusion, refraction and other relevant phenomena can be generated using IBRL. The main advantage of image-based graphics is that the rendering time is independent of scene complexity as the rendering is actually a process of manipulatingimage pixels, instead of simulating light transport.The goal of this paper is to provide a complete and systematic overview of the research in Imagebased Relighting. We observe that essentially all IBRL techniques can be broadly classified into three categories (Fig. 9), based on how the scene/illumination information is captured: Reflectance function-based, Basis function-based and Plenoptic function-based. We discussthe characteristics of each of these categories and their representative methods. We also discuss about the sampling density and types of light source(s), relevant issues of IBRL.</b:Comments>
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ISI

PT Journal
AU Choudhury, B
   Chandran, S
TI A Survey of Image-based Relighting Techniques
SO JVRB - Journal of Virtual Reality and Broadcasting
PY 2009
VL 4(2007)
IS 7
DI 10.20385/1860-2037/4.2007.7
DE Augmented Reality; Image-based Relighting; Image-based Techniques; Survey
AB Image-based Relighting (IBRL) has recently attracted a lot of research interest for its ability to relight real objects or scenes, from novel illuminations captured in natural/synthetic environments. Complex lighting effects such as subsurface scattering, interreflection,shadowing, mesostructural self-occlusion, refraction and other relevant phenomena can be generated using IBRL. The main advantage of image-based graphics is that the rendering time is independent of scene complexity as the rendering is actually a process of manipulatingimage pixels, instead of simulating light transport.The goal of this paper is to provide a complete and systematic overview of the research in Imagebased Relighting. We observe that essentially all IBRL techniques can be broadly classified into three categories (Fig. 9), based on how the scene/illumination information is captured: Reflectance function-based, Basis function-based and Plenoptic function-based. We discussthe characteristics of each of these categories and their representative methods. We also discuss about the sampling density and types of light source(s), relevant issues of IBRL.
ER

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Mods

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  <titleInfo>
    <title>A Survey of Image-based Relighting Techniques</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Choudhury</namePart>
    <namePart type="given">Biswarup</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Chandran</namePart>
    <namePart type="given">Sharat</namePart>
  </name>
  <abstract>Image-based Relighting (IBRL) has recently attracted a lot of research interest for its ability to relight real objects or scenes, from novel illuminations captured in natural/synthetic environments. Complex lighting effects such as subsurface scattering, interreflection,
shadowing, mesostructural self-occlusion, refraction and other relevant phenomena can be generated using IBRL. The main advantage of image-based graphics is that the rendering time is independent of scene complexity as the rendering is actually a process of manipulating
image pixels, instead of simulating light transport.
The goal of this paper is to provide a complete and systematic overview of the research in Imagebased Relighting. We observe that essentially all IBRL techniques can be broadly classified into three categories (Fig. 9), based on how the scene/illumination information is captured: Reflectance function-based, Basis function-based and Plenoptic function-based. We discuss
the characteristics of each of these categories and their representative methods. We also discuss about the sampling density and types of light source(s), relevant issues of IBRL.</abstract>
  <subject>
    <topic>Augmented Reality</topic>
    <topic>Image-based Relighting</topic>
    <topic>Image-based Techniques</topic>
    <topic>Survey</topic>
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