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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/10.20385/1860-2037/4.2007.7Download
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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" }Download
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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 -Download
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<?xml version="1.0" encoding="UTF-8"?> <b:Sources SelectedStyle="" xmlns:b="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" xmlns="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" > <b:Source> <b:Tag>choudhury2009</b:Tag> <b:SourceType>ArticleInAPeriodical</b:SourceType> <b:Year>2009</b:Year> <b:PeriodicalTitle>JVRB - Journal of Virtual Reality and Broadcasting</b:PeriodicalTitle> <b:Volume>4(2007)</b:Volume> <b:Issue>7</b:Issue> <b:Url>http://nbn-resolving.de/urn:nbn:de:0009-6-21208</b:Url> <b:Url>http://dx.doi.org/10.20385/1860-2037/4.2007.7</b:Url> <b:Author> <b:Author><b:NameList> <b:Person><b:Last>Choudhury</b:Last><b:First>Biswarup</b:First></b:Person> <b:Person><b:Last>Chandran</b:Last><b:First>Sharat</b:First></b:Person> </b:NameList></b:Author> </b:Author> <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> </b:Source> </b:Sources>Download
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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. ERDownload
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Full Metadata
Bibliographic Citation | JVRB, 4(2007), no. 7. |
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Title |
A Survey of Image-based Relighting Techniques (eng) |
Author | Biswarup Choudhury, Sharat Chandran |
Language | eng |
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. |
Subject | Augmented Reality, Image-based Relighting, Image-based Techniques, Survey |
Classified Subjects |
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DDC | 004 |
Rights | DPPL |
URN: | urn:nbn:de:0009-6-21208 |
DOI | https://doi.org/10.20385/1860-2037/4.2007.7 |