Motion Estimation for Time-Varying Mesh and Similar Motion Retrieval

  • Tadano Ryuichi
    Department of Frontier Informatics, Graduate School of Frontier Sciences, The University of Tokyo
  • Yamasaki Toshihiko
    Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo
  • Aizawa Kiyoharu
    Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo

Bibliographic Information

Other Title
  • スケルトンを用いたTime‐Varying Meshからの動き抽出と類似動作検索
  • スケルトンを用いたTime-Varying Meshからの動き抽出と類似動作検索
  • スケルトン オ モチイタ Time Varying Mesh カラノ ウゴキ チュウシュツ ト ルイジ ドウサ ケンサク

Search this article

Abstract

We propose an algorithm for motion extraction from Time-Varying Mesh (TVM). TVM is a sequence of 3D models made for real-world dynamic objects. TVM store detailed information about 3D objects such as their shape, color, and motion. Therefore, TVM is an attractive technology for next-generation multimedia. However, the management of a TVM database, which is used for archiving and retrieving, is a significant problem because it is difficult to locate and track feature points in TVM. For efficient and effective archive and retrieval systems, motion extraction and tracking is essential. In our method, skeletons are extracted from TVM using a Reeb graph, and motion tracking is achieved by fitting a reference skeleton to the other skeletons. We developed a geodesic function using principal component analysis (PCA) for fast and noiseless skeleton extraction. Robust fitting was achieved by implementing an end-node tracking strategy. In addition, we have developed an efficient motion retrieval system compatible with conventional motion capture data using the extracted skeletons. As a result, we have developed a low-cost query generation technique using motion-capture systems and cross search between TVM and motion capture data.

Journal

Citations (3)*help

See more

References(25)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top