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Geostatistical Motion Interpolation
https://repo.lib.tut.ac.jp/records/1313
https://repo.lib.tut.ac.jp/records/1313e0fdd03d-34e1-4516-b142-4d003dfe33f1
名前 / ファイル | ライセンス | アクション |
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as2005-1062.pdf (4.0 MB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2014-05-23 | |||||
タイトル | ||||||
タイトル | Geostatistical Motion Interpolation | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | motion interpolation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | humanoid animation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | motion | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
向井, 智彦
× 向井, 智彦× 栗山, 繁 |
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著者(英) |
Mukai, Tomohiko
× Mukai, Tomohiko× Kuriyama, Shigeru |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | A common motion interpolation technique for realistic human animation is to blend similar motion samples with weighting functions whose parameters are embedded in an abstract space. Existing methods, however, are insensitive to statistical properties, such as correlations between motions. In addition, they lack the capability to quantitatively evaluate the reliability of synthesized motions. This paper proposes a method that treats motion interpolations as statistical predictions of missing data in an arbitrarily definable parametric space. A practical technique of geostatistics, called universal kriging, is then introduced for statistically estimating the correlations between the dissimilarity of motions and the distance in the parametric space. Our method statistically optimizes interpolation kernels for given parameters at each frame, using a pose distance metric to efficiently analyze the correlation. Motions are accurately predicted for the spatial constraints represented in the parametric space, and they therefore have few undesirable artifacts, if any. This property alleviates the problem of spatial inconsistencies, such as foot-sliding, that are associated with many existing methods. Moreover, numerical estimates for the reliability of predictions enable motions to be adaptively sampled. Since the interpolation kernels are computed with a linear system in real-time, motions can be interactively edited using various spatial controls. |
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書誌情報 |
Proceedings of ACM SIGGRAPH 2005 (ACM Transactions on Graphics Vol.24 Issue 3, July 2005) 巻 24, 号 3, p. 1062-1070, 発行日 2005-07 |
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出版者 | ||||||
出版者 | ACM | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1145/1073204.1073313 | |||||
権利 | ||||||
権利情報 | (C) ACM 2005. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM SIGGRAPH 2005 (ACM Transactions on Graphics Vol.24 Issue 3, July 2005 Pages 1062-1070, http://dx.doi.org/10.1145/1073204.1073313. | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://dl.acm.org/citation.cfm?id=1186822.1073313&coll=DL&dl=ACM&CFID=343594453&CFTOKEN=75678400 | |||||
関連名称 | ACM Digital Library | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |
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Cite as
向井, 智彦, 栗山, 繁, 2005, Geostatistical Motion Interpolation: ACM, 1062–1070 p.
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