論文

査読有り
2006年

Finding articulated body in time-series volume data

ARTICULATED MOTION AND DEFORMABLE OBJECTS, PROCEEDINGS
  • Tomoyuki Mukasa
  • ,
  • Shohei Nobuhara
  • ,
  • Atsuto Maki
  • ,
  • Takashi Matsuyama

4069
開始ページ
395
終了ページ
404
記述言語
英語
掲載種別
研究論文(学術雑誌)
出版者・発行元
SPRINGER-VERLAG BERLIN

This paper presents a new scheme for acquiring 3D kinematic structure and motion from time-series volume data, in particular, focusing on human body. Our basic strategy is to first represent the shape structure of the target in each frame by using aMRG, augmented Multiresolution Reeb Graph [6], and then deform each of the shape structures so that all of them can be identified as a common kinematic structure throughout the input frames. Although the shape structures can be very different from frame to frame, we propose to derive a unique kinematic structure by way of clustering some nodes of graph, based on the fact that they are partly coherent. The only assumption we make is that human body can be approximated by an articulated body with certain number of end-points and branches. We demonstrate the efficacy of the proposed scheme through some experiments.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000239560700041&DestApp=WOS_CPL
ID情報
  • ISSN : 0302-9743
  • Web of Science ID : WOS:000239560700041

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