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Peter Stroia-Williams, Adrian Hilton, and Oliver Grau, Reflectance Transfer for Material Editing and Relighting. JVRB - Journal of Virtual Reality and Broadcasting, 7(2010), no. 6. (urn:nbn:de:0009-6-26537)
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%0 Journal Article %T Reflectance Transfer for Material Editing and Relighting %A Stroia-Williams, Peter %A Hilton, Adrian %A Grau, Oliver %J JVRB - Journal of Virtual Reality and Broadcasting %D 2010 %V 7(2010) %N 6 %@ 1860-2037 %F stroia-williams2010 %X We present a new approach to diffuse reflectance estimationfor dynamic scenes.Non-parametric image statistics are used to transferreflectance properties from a static example set to adynamic image sequence.The approach allows diffuse reflectance estimationfor surface materials with inhomogeneous appearance,such as those which commonly occur with patterned ortextured clothing. Material editing is also possible bytransferring edited reflectance properties.Material reflectance properties are initially estimatedfrom static images of the subject under multipledirectional illuminations using photometric stereo.The estimated reflectance together with the correspondingimage under uniform ambient illuminationform a prior set of reference material observations.Material reflectance properties are then estimatedfor video sequences of a moving person captured underuniform ambient illumination by matching theobserved local image statistics to the reference observations.Results demonstrate that the transfer ofreflectance properties enables estimation of the dynamicsurface normals and subsequent relighting combinedwith material editing. This approach overcomeslimitations of previous work on material transferand relighting of dynamic scenes which was limitedto surfaces with regions of homogeneous reflectance.We evaluate our approach for relighting3D model sequences reconstructed from multipleview video. Comparison to previous model relightingdemonstrates improved reproduction of detailed textureand shape dynamics. %L 004 %K Editing %K GPGPU %K Material %K Non-parametric %K Reflectance Transfer %K Relighting %K Shape From Shading %K Statistics %R 10.20385/1860-2037/7.2010.6 %U http://nbn-resolving.de/urn:nbn:de:0009-6-26537 %U http://dx.doi.org/10.20385/1860-2037/7.2010.6Download
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@Article{stroia-williams2010, author = "Stroia-Williams, Peter and Hilton, Adrian and Grau, Oliver", title = "Reflectance Transfer for Material Editing and Relighting", journal = "JVRB - Journal of Virtual Reality and Broadcasting", year = "2010", volume = "7(2010)", number = "6", keywords = "Editing; GPGPU; Material; Non-parametric; Reflectance Transfer; Relighting; Shape From Shading; Statistics", abstract = "We present a new approach to diffuse reflectance estimationfor dynamic scenes.Non-parametric image statistics are used to transferreflectance properties from a static example set to adynamic image sequence.The approach allows diffuse reflectance estimationfor surface materials with inhomogeneous appearance,such as those which commonly occur with patterned ortextured clothing. Material editing is also possible bytransferring edited reflectance properties.Material reflectance properties are initially estimatedfrom static images of the subject under multipledirectional illuminations using photometric stereo.The estimated reflectance together with the correspondingimage under uniform ambient illuminationform a prior set of reference material observations.Material reflectance properties are then estimatedfor video sequences of a moving person captured underuniform ambient illumination by matching theobserved local image statistics to the reference observations.Results demonstrate that the transfer ofreflectance properties enables estimation of the dynamicsurface normals and subsequent relighting combinedwith material editing. This approach overcomeslimitations of previous work on material transferand relighting of dynamic scenes which was limitedto surfaces with regions of homogeneous reflectance.We evaluate our approach for relighting3D model sequences reconstructed from multipleview video. Comparison to previous model relightingdemonstrates improved reproduction of detailed textureand shape dynamics.", issn = "1860-2037", doi = "10.20385/1860-2037/7.2010.6", url = "http://nbn-resolving.de/urn:nbn:de:0009-6-26537" }Download
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TY - JOUR AU - Stroia-Williams, Peter AU - Hilton, Adrian AU - Grau, Oliver PY - 2010 DA - 2010// TI - Reflectance Transfer for Material Editing and Relighting JO - JVRB - Journal of Virtual Reality and Broadcasting VL - 7(2010) IS - 6 KW - Editing KW - GPGPU KW - Material KW - Non-parametric KW - Reflectance Transfer KW - Relighting KW - Shape From Shading KW - Statistics AB - We present a new approach to diffuse reflectance estimationfor dynamic scenes.Non-parametric image statistics are used to transferreflectance properties from a static example set to adynamic image sequence.The approach allows diffuse reflectance estimationfor surface materials with inhomogeneous appearance,such as those which commonly occur with patterned ortextured clothing. Material editing is also possible bytransferring edited reflectance properties.Material reflectance properties are initially estimatedfrom static images of the subject under multipledirectional illuminations using photometric stereo.The estimated reflectance together with the correspondingimage under uniform ambient illuminationform a prior set of reference material observations.Material reflectance properties are then estimatedfor video sequences of a moving person captured underuniform ambient illumination by matching theobserved local image statistics to the reference observations.Results demonstrate that the transfer ofreflectance properties enables estimation of the dynamicsurface normals and subsequent relighting combinedwith material editing. This approach overcomeslimitations of previous work on material transferand relighting of dynamic scenes which was limitedto surfaces with regions of homogeneous reflectance.We evaluate our approach for relighting3D model sequences reconstructed from multipleview video. Comparison to previous model relightingdemonstrates improved reproduction of detailed textureand shape dynamics. SN - 1860-2037 UR - http://nbn-resolving.de/urn:nbn:de:0009-6-26537 DO - 10.20385/1860-2037/7.2010.6 ID - stroia-williams2010 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>stroia-williams2010</b:Tag> <b:SourceType>ArticleInAPeriodical</b:SourceType> <b:Year>2010</b:Year> <b:PeriodicalTitle>JVRB - Journal of Virtual Reality and Broadcasting</b:PeriodicalTitle> <b:Volume>7(2010)</b:Volume> <b:Issue>6</b:Issue> <b:Url>http://nbn-resolving.de/urn:nbn:de:0009-6-26537</b:Url> <b:Url>http://dx.doi.org/10.20385/1860-2037/7.2010.6</b:Url> <b:Author> <b:Author><b:NameList> <b:Person><b:Last>Stroia-Williams</b:Last><b:First>Peter</b:First></b:Person> <b:Person><b:Last>Hilton</b:Last><b:First>Adrian</b:First></b:Person> <b:Person><b:Last>Grau</b:Last><b:First>Oliver</b:First></b:Person> </b:NameList></b:Author> </b:Author> <b:Title>Reflectance Transfer for Material Editing and Relighting</b:Title> <b:Comments>We present a new approach to diffuse reflectance estimationfor dynamic scenes.Non-parametric image statistics are used to transferreflectance properties from a static example set to adynamic image sequence.The approach allows diffuse reflectance estimationfor surface materials with inhomogeneous appearance,such as those which commonly occur with patterned ortextured clothing. Material editing is also possible bytransferring edited reflectance properties.Material reflectance properties are initially estimatedfrom static images of the subject under multipledirectional illuminations using photometric stereo.The estimated reflectance together with the correspondingimage under uniform ambient illuminationform a prior set of reference material observations.Material reflectance properties are then estimatedfor video sequences of a moving person captured underuniform ambient illumination by matching theobserved local image statistics to the reference observations.Results demonstrate that the transfer ofreflectance properties enables estimation of the dynamicsurface normals and subsequent relighting combinedwith material editing. This approach overcomeslimitations of previous work on material transferand relighting of dynamic scenes which was limitedto surfaces with regions of homogeneous reflectance.We evaluate our approach for relighting3D model sequences reconstructed from multipleview video. Comparison to previous model relightingdemonstrates improved reproduction of detailed textureand shape dynamics.</b:Comments> </b:Source> </b:Sources>Download
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PT Journal AU Stroia-Williams, P Hilton, A Grau, O TI Reflectance Transfer for Material Editing and Relighting SO JVRB - Journal of Virtual Reality and Broadcasting PY 2010 VL 7(2010) IS 6 DI 10.20385/1860-2037/7.2010.6 DE Editing; GPGPU; Material; Non-parametric; Reflectance Transfer; Relighting; Shape From Shading; Statistics AB We present a new approach to diffuse reflectance estimationfor dynamic scenes.Non-parametric image statistics are used to transferreflectance properties from a static example set to adynamic image sequence.The approach allows diffuse reflectance estimationfor surface materials with inhomogeneous appearance,such as those which commonly occur with patterned ortextured clothing. Material editing is also possible bytransferring edited reflectance properties.Material reflectance properties are initially estimatedfrom static images of the subject under multipledirectional illuminations using photometric stereo.The estimated reflectance together with the correspondingimage under uniform ambient illuminationform a prior set of reference material observations.Material reflectance properties are then estimatedfor video sequences of a moving person captured underuniform ambient illumination by matching theobserved local image statistics to the reference observations.Results demonstrate that the transfer ofreflectance properties enables estimation of the dynamicsurface normals and subsequent relighting combinedwith material editing. This approach overcomeslimitations of previous work on material transferand relighting of dynamic scenes which was limitedto surfaces with regions of homogeneous reflectance.We evaluate our approach for relighting3D model sequences reconstructed from multipleview video. Comparison to previous model relightingdemonstrates improved reproduction of detailed textureand shape dynamics. ERDownload
Mods
<mods> <titleInfo> <title>Reflectance Transfer for Material Editing and Relighting</title> </titleInfo> <name type="personal"> <namePart type="family">Stroia-Williams</namePart> <namePart type="given">Peter</namePart> </name> <name type="personal"> <namePart type="family">Hilton</namePart> <namePart type="given">Adrian</namePart> </name> <name type="personal"> <namePart type="family">Grau</namePart> <namePart type="given">Oliver</namePart> </name> <abstract>We present a new approach to diffuse reflectance estimation for dynamic scenes. Non-parametric image statistics are used to transfer reflectance properties from a static example set to a dynamic image sequence. The approach allows diffuse reflectance estimation for surface materials with inhomogeneous appearance, such as those which commonly occur with patterned or textured clothing. Material editing is also possible by transferring edited reflectance properties. Material reflectance properties are initially estimated from static images of the subject under multiple directional illuminations using photometric stereo. The estimated reflectance together with the corresponding image under uniform ambient illumination form a prior set of reference material observations. Material reflectance properties are then estimated for video sequences of a moving person captured under uniform ambient illumination by matching the observed local image statistics to the reference observations. Results demonstrate that the transfer of reflectance properties enables estimation of the dynamic surface normals and subsequent relighting combined with material editing. This approach overcomes limitations of previous work on material transfer and relighting of dynamic scenes which was limited to surfaces with regions of homogeneous reflectance. We evaluate our approach for relighting 3D model sequences reconstructed from multiple view video. Comparison to previous model relighting demonstrates improved reproduction of detailed texture and shape dynamics.</abstract> <subject> <topic>Editing</topic> <topic>GPGPU</topic> <topic>Material</topic> <topic>Non-parametric</topic> <topic>Reflectance Transfer</topic> <topic>Relighting</topic> <topic>Shape From Shading</topic> <topic>Statistics</topic> </subject> <classification authority="ddc">004</classification> <relatedItem type="host"> <genre authority="marcgt">periodical</genre> <genre>academic journal</genre> <titleInfo> <title>JVRB - Journal of Virtual Reality and Broadcasting</title> </titleInfo> <part> <detail type="volume"> <number>7(2010)</number> </detail> <detail type="issue"> <number>6</number> </detail> <date>2010</date> </part> </relatedItem> <identifier type="issn">1860-2037</identifier> <identifier type="urn">urn:nbn:de:0009-6-26537</identifier> <identifier type="doi">10.20385/1860-2037/7.2010.6</identifier> <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-6-26537</identifier> <identifier type="citekey">stroia-williams2010</identifier> </mods>Download
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Bibliographic Citation | JVRB, 7(2010), no. 6. |
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Title |
Reflectance Transfer for Material Editing and Relighting (eng) |
Author | Peter Stroia-Williams, Adrian Hilton, Oliver Grau |
Language | eng |
Abstract | We present a new approach to diffuse reflectance estimation for dynamic scenes. Non-parametric image statistics are used to transfer reflectance properties from a static example set to a dynamic image sequence. The approach allows diffuse reflectance estimation for surface materials with inhomogeneous appearance, such as those which commonly occur with patterned or textured clothing. Material editing is also possible by transferring edited reflectance properties. Material reflectance properties are initially estimated from static images of the subject under multiple directional illuminations using photometric stereo. The estimated reflectance together with the corresponding image under uniform ambient illumination form a prior set of reference material observations. Material reflectance properties are then estimated for video sequences of a moving person captured under uniform ambient illumination by matching the observed local image statistics to the reference observations. Results demonstrate that the transfer of reflectance properties enables estimation of the dynamic surface normals and subsequent relighting combined with material editing. This approach overcomes limitations of previous work on material transfer and relighting of dynamic scenes which was limited to surfaces with regions of homogeneous reflectance. We evaluate our approach for relighting 3D model sequences reconstructed from multiple view video. Comparison to previous model relighting demonstrates improved reproduction of detailed texture and shape dynamics. |
Subject | Editing, GPGPU, Material, Non-parametric, Reflectance Transfer, Relighting, Shape From Shading, Statistics |
Classified Subjects |
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DDC | 004 |
Rights | DPPL |
URN: | urn:nbn:de:0009-6-26537 |
DOI | https://doi.org/10.20385/1860-2037/7.2010.6 |