JOINT BASED FEATURE EXTRACTION FROM MOCAP DATASETS(International Workshop on Advanced Image Technology 2005)
スポンサーリンク
概要
- 論文の詳細を見る
In the context of video games and characters in the virtual world there has been a great demand for synthesizing realistic motions under explicit user control. In order to meet that demand, a number of methods have been proposed, which typically exploit correlations between adjacent articulation joints. These correlations can in turn be extracted from example motion capture data. In this paper, we examine the relations between the degrees of freedom of each joint individually. We then proceed to show that even when we treat each joint independently, we are able to generate animations that retain the original motion features.
- 社団法人電子情報通信学会の論文
- 2005-01-04
著者
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SAITO Suguru
Department of Obstetrics and Gynecology, School of Medicine, Keio University
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YASUDA Hiroshi
Department of Neurosurgery, Hokkaido University Graduate School of Medicine
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Saito Suguru
Graduate School Of Information Science And Engineering Tokyo Institute Of Technology
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Nakajima Masayuki
Department of Computer Science Tokyo Institute of Technology
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Yasuda Hiroshi
The University Of Tokyo
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Yasuda Hiroshi
The University Of Tokyo Rcast
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Saito Suguru
Department Of Computer Science Graduate School Of Information Science & Engineering Tokyo Instit
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Romanos Piperakis
Department of Computer Science Graduate School of Information Science & Engineering Tokyo Institute
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Yasuda H
The University Of Tokyo
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Romanos Piperakis
Department Of Computer Science Graduate School Of Information Science & Engineering Tokyo Instit
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Nakajima Masayuki
Department Of Computer Science Graduate School Of Information Science & Engineering Tokyo Instit
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Yasuda Hiroshi
Department Of Agricultural Chemistry Obihiro University Of Agriculture And Veterinary Medicine
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