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Björn Krüger, Jochen Tautges, Meinard Müller, and Andreas Weber, Multi-Mode Tensor Representation of Motion Data. JVRB - Journal of Virtual Reality and Broadcasting, 5(2008), no. 5. (urn:nbn:de:0009-6-14197)
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%0 Journal Article %T Multi-Mode Tensor Representation of Motion Data %A Krüger, Björn %A Tautges, Jochen %A Müller, Meinard %A Weber, Andreas %J JVRB - Journal of Virtual Reality and Broadcasting %D 2008 %V 5(2008) %N 5 %@ 1860-2037 %F krüger2008 %X In this paper, we investigate how a multilinear modelcan be used to represent human motion data. Basedon technical modes (referring to degrees of freedomand number of frames) and natural modes that typicallyappear in the context of a motion capture session(referring to actor, style, and repetition), the motiondata is encoded in form of a high-order tensor.This tensor is then reduced by using N-mode singularvalue decomposition. Our experiments show that thereduced model approximates the original motion betterthen previously introduced PCA-based approaches.Furthermore, we discuss how the tensor representationmay be used as a valuable tool for the synthesis of newmotions. %L 004 %K Motion Capture %K Motion Synthesis %K N-Mode SVD %K Tensor Representation %R 10.20385/1860-2037/5.2008.5 %U http://nbn-resolving.de/urn:nbn:de:0009-6-14197 %U http://dx.doi.org/10.20385/1860-2037/5.2008.5Download
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@Article{krüger2008, author = "Kr{\"u}ger, Bj{\"o}rn and Tautges, Jochen and M{\"u}ller, Meinard and Weber, Andreas", title = "Multi-Mode Tensor Representation of Motion Data", journal = "JVRB - Journal of Virtual Reality and Broadcasting", year = "2008", volume = "5(2008)", number = "5", keywords = "Motion Capture; Motion Synthesis; N-Mode SVD; Tensor Representation", abstract = "In this paper, we investigate how a multilinear modelcan be used to represent human motion data. Basedon technical modes (referring to degrees of freedomand number of frames) and natural modes that typicallyappear in the context of a motion capture session(referring to actor, style, and repetition), the motiondata is encoded in form of a high-order tensor.This tensor is then reduced by using N-mode singularvalue decomposition. Our experiments show that thereduced model approximates the original motion betterthen previously introduced PCA-based approaches.Furthermore, we discuss how the tensor representationmay be used as a valuable tool for the synthesis of newmotions.", issn = "1860-2037", doi = "10.20385/1860-2037/5.2008.5", url = "http://nbn-resolving.de/urn:nbn:de:0009-6-14197" }Download
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TY - JOUR AU - Krüger, Björn AU - Tautges, Jochen AU - Müller, Meinard AU - Weber, Andreas PY - 2008 DA - 2008// TI - Multi-Mode Tensor Representation of Motion Data JO - JVRB - Journal of Virtual Reality and Broadcasting VL - 5(2008) IS - 5 KW - Motion Capture KW - Motion Synthesis KW - N-Mode SVD KW - Tensor Representation AB - In this paper, we investigate how a multilinear modelcan be used to represent human motion data. Basedon technical modes (referring to degrees of freedomand number of frames) and natural modes that typicallyappear in the context of a motion capture session(referring to actor, style, and repetition), the motiondata is encoded in form of a high-order tensor.This tensor is then reduced by using N-mode singularvalue decomposition. Our experiments show that thereduced model approximates the original motion betterthen previously introduced PCA-based approaches.Furthermore, we discuss how the tensor representationmay be used as a valuable tool for the synthesis of newmotions. SN - 1860-2037 UR - http://nbn-resolving.de/urn:nbn:de:0009-6-14197 DO - 10.20385/1860-2037/5.2008.5 ID - krüger2008 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>krüger2008</b:Tag> <b:SourceType>ArticleInAPeriodical</b:SourceType> <b:Year>2008</b:Year> <b:PeriodicalTitle>JVRB - Journal of Virtual Reality and Broadcasting</b:PeriodicalTitle> <b:Volume>5(2008)</b:Volume> <b:Issue>5</b:Issue> <b:Url>http://nbn-resolving.de/urn:nbn:de:0009-6-14197</b:Url> <b:Url>http://dx.doi.org/10.20385/1860-2037/5.2008.5</b:Url> <b:Author> <b:Author><b:NameList> <b:Person><b:Last>Krüger</b:Last><b:First>Björn</b:First></b:Person> <b:Person><b:Last>Tautges</b:Last><b:First>Jochen</b:First></b:Person> <b:Person><b:Last>Müller</b:Last><b:First>Meinard</b:First></b:Person> <b:Person><b:Last>Weber</b:Last><b:First>Andreas</b:First></b:Person> </b:NameList></b:Author> </b:Author> <b:Title>Multi-Mode Tensor Representation of Motion Data</b:Title> <b:Comments>In this paper, we investigate how a multilinear modelcan be used to represent human motion data. Basedon technical modes (referring to degrees of freedomand number of frames) and natural modes that typicallyappear in the context of a motion capture session(referring to actor, style, and repetition), the motiondata is encoded in form of a high-order tensor.This tensor is then reduced by using N-mode singularvalue decomposition. Our experiments show that thereduced model approximates the original motion betterthen previously introduced PCA-based approaches.Furthermore, we discuss how the tensor representationmay be used as a valuable tool for the synthesis of newmotions.</b:Comments> </b:Source> </b:Sources>Download
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PT Journal AU Krüger, B Tautges, J Müller, M Weber, A TI Multi-Mode Tensor Representation of Motion Data SO JVRB - Journal of Virtual Reality and Broadcasting PY 2008 VL 5(2008) IS 5 DI 10.20385/1860-2037/5.2008.5 DE Motion Capture; Motion Synthesis; N-Mode SVD; Tensor Representation AB In this paper, we investigate how a multilinear modelcan be used to represent human motion data. Basedon technical modes (referring to degrees of freedomand number of frames) and natural modes that typicallyappear in the context of a motion capture session(referring to actor, style, and repetition), the motiondata is encoded in form of a high-order tensor.This tensor is then reduced by using N-mode singularvalue decomposition. Our experiments show that thereduced model approximates the original motion betterthen previously introduced PCA-based approaches.Furthermore, we discuss how the tensor representationmay be used as a valuable tool for the synthesis of newmotions. ERDownload
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<mods> <titleInfo> <title>Multi-Mode Tensor Representation of Motion Data</title> </titleInfo> <name type="personal"> <namePart type="family">Krüger</namePart> <namePart type="given">Björn</namePart> </name> <name type="personal"> <namePart type="family">Tautges</namePart> <namePart type="given">Jochen</namePart> </name> <name type="personal"> <namePart type="family">Müller</namePart> <namePart type="given">Meinard</namePart> </name> <name type="personal"> <namePart type="family">Weber</namePart> <namePart type="given">Andreas</namePart> </name> <abstract>In this paper, we investigate how a multilinear model can be used to represent human motion data. Based on technical modes (referring to degrees of freedom and number of frames) and natural modes that typically appear in the context of a motion capture session (referring to actor, style, and repetition), the motion data is encoded in form of a high-order tensor. This tensor is then reduced by using N-mode singular value decomposition. Our experiments show that the reduced model approximates the original motion better then previously introduced PCA-based approaches. Furthermore, we discuss how the tensor representation may be used as a valuable tool for the synthesis of new motions.</abstract> <subject> <topic>Motion Capture</topic> <topic>Motion Synthesis</topic> <topic>N-Mode SVD</topic> <topic>Tensor Representation</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>5(2008)</number> </detail> <detail type="issue"> <number>5</number> </detail> <date>2008</date> </part> </relatedItem> <identifier type="issn">1860-2037</identifier> <identifier type="urn">urn:nbn:de:0009-6-14197</identifier> <identifier type="doi">10.20385/1860-2037/5.2008.5</identifier> <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-6-14197</identifier> <identifier type="citekey">krüger2008</identifier> </mods>Download
Full Metadata
Bibliographic Citation | JVRB, 5(2008), no. 5. |
---|---|
Title |
Multi-Mode Tensor Representation of Motion Data (eng) |
Author | Björn Krüger, Jochen Tautges, Meinard Müller, Andreas Weber |
Language | eng |
Abstract | In this paper, we investigate how a multilinear model can be used to represent human motion data. Based on technical modes (referring to degrees of freedom and number of frames) and natural modes that typically appear in the context of a motion capture session (referring to actor, style, and repetition), the motion data is encoded in form of a high-order tensor. This tensor is then reduced by using N-mode singular value decomposition. Our experiments show that the reduced model approximates the original motion better then previously introduced PCA-based approaches. Furthermore, we discuss how the tensor representation may be used as a valuable tool for the synthesis of new motions. |
Subject | Motion Capture, Motion Synthesis, N-Mode SVD, Tensor Representation |
Classified Subjects |
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DDC | 004 |
Rights | DPPL |
URN: | urn:nbn:de:0009-6-14197 |
DOI | https://doi.org/10.20385/1860-2037/5.2008.5 |