| Item type |
SIG Technical Reports(1) |
| 公開日 |
2016-11-02 |
| タイトル |
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|
タイトル |
Enhancing Subspaces for Elastic Deformation with Collisions |
| タイトル |
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言語 |
en |
|
タイトル |
Enhancing Subspaces for Elastic Deformation with Collisions |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
|
資源タイプ |
technical report |
| 著者所属 |
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|
The University of Tokyo |
| 著者所属 |
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The University of Tokyo |
| 著者所属(英) |
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en |
|
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The University of Tokyo |
| 著者所属(英) |
|
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en |
|
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The University of Tokyo |
| 著者名 |
Duosheng, Yu
Takashi, Kanai
|
| 著者名(英) |
Duosheng, Yu
Takashi, Kanai
|
| 論文抄録 |
|
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内容記述タイプ |
Other |
|
内容記述 |
In general, subspace methods for elastic deformations can greatly increase the simulation speed and have good global supports. However, when novel external collisions are encountered, the expressivity of subspace is not enough, and then obvious artifacts will appear. In this paper, we present an efficient data-driven approach to adaptively enhance the expressivity of subspace for elastic deformations with novel collisions. We firstly capture several time-series shapes from an object by performing full-space simulation. We then construct a database of subspace including displacements and potential derivatives among shapes of all time-series. In run-time simulation, we choose several proper bases from such a database and use them as run-time local basis. As a result, we show that our approach can achieve faster and more accurate computation of elastic deformation when novel collisions happen. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
In general, subspace methods for elastic deformations can greatly increase the simulation speed and have good global supports. However, when novel external collisions are encountered, the expressivity of subspace is not enough, and then obvious artifacts will appear. In this paper, we present an efficient data-driven approach to adaptively enhance the expressivity of subspace for elastic deformations with novel collisions. We firstly capture several time-series shapes from an object by performing full-space simulation. We then construct a database of subspace including displacements and potential derivatives among shapes of all time-series. In run-time simulation, we choose several proper bases from such a database and use them as run-time local basis. As a result, we show that our approach can achieve faster and more accurate computation of elastic deformation when novel collisions happen. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA11131797 |
| 書誌情報 |
研究報告コンピュータビジョンとイメージメディア（CVIM）
巻 2016-CVIM-204,
号 24,
p. 1-6,
発行日 2016-11-02
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8701 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-CVIM16204024.pdf (1.1 MB)
