Nowa wersja platformy jest już dostępna.
Przejdź na https://bibliotekanauki.pl

PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2011 | 28 | 133-139
Tytuł artykułu

A Method of Hyper-sphere Cover in Multidimensional Space for Human Mocap Data Retrieval

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A method of hyper-sphere cover in multidimensional space for human Mocap (Motion Capture) data retrieval is presented in this paper. After normalization and feature extraction, both the retrieval instance and the motion data are mapping into a multidimensional space. Several hyper-spheres are constructed according to the retrieval instance, and the domain covered by these hyper-spheres can be considered as the distribution range of a same kind of motions. By use of CMU free motion database, the retrieval algorithm has been implemented and examined and the experimental results are illustrated. At the same time, the main contributions and limitations are discussed.
Wydawca

Rocznik
Tom
28
Strony
133-139
Opis fizyczny
Daty
wydano
2011-06-01
online
2011-07-04
Twórcy
autor
autor
  • Key Laboratory of Advanced Design and Intelligent Computing, Dalian University, Ministry of Education, Dalian, China
autor
  • Key Laboratory of Advanced Design and Intelligent Computing, Dalian University, Ministry of Education, Dalian, China
autor
  • School of Mechanical Engineering, Dalian University of Technology, Dalian, China
Bibliografia
  • Demuth B., Roder T., Muller M., and Eberhardt B. An Information Retrieval System for Motion Capture Data. LNCS 3936. 2006, 373-384.
  • Chiu C., Chao S., Wu M., Yang S., Lin H. Content-based retrieval for human motion data. Journal of Visual Communication and Image Representation. 2004, (15)3: 446-466.[Crossref][WoS]
  • Muller M. and Roder T. Motion Templates for Automatic Classification and Retrieval of Motion Capture Data. Eurographics/ACM SIGGRAPH Symposium on Computer Animation. 2006, 137-146.
  • Roder T. Similarity, Retrieval, and Classification of Motion Capture Data. University of Bonn. 2006, 93-110.
  • Muller M., Roder T., Clausen M. Efficient Content-Based Retrieval of Motion Capture Data. ACM Transactions on Graphics (TOG). 2005, (24)3: 677-685.[Crossref]
  • Yamasaki T., Aizawa K. Content-Based Cross Search for Human Motion Data Using Time-Varying Mesh and Motion Capture Data. Proceeding of IEEE International Conference on Multimedia and Expo (ICME2007). 2007, 2007-2009.
  • Chao S., Chiu C., Chao J., Ruan Y., Yang S. Motion Retrieval and Synthesis Based on Posture Feature Indexing. Proceedings of the Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'03). 2003, 266-271.
  • Liu F., Zhuang Y., Wu F., and Pan Y. 3D motion retrieval with motion index tree. Computer Vision and Image Understanding. 2003, (92)2: 265-284.[Crossref]
  • Xiang J. and Zhu H. Motion Retrieval Based on Temporal-Spatial Features by Decision Tree. LNCS 4561. 2007, 224-233.
  • Lin Y. Efficient Motion Search in Large Motion Capture Databases. LNCS 4291. 2006, 151-160.
  • Wang X., Yu Z., Wong H. 3D Motion Sequence Retrieval Based on Data Distribution. ICME 2008. 2008, 1229-1232.
  • Yu T., Shen X., Li Q. and Geng W. Motion retrieval based on movement notation language. Computer Animation and Virtual Worlds. 2005, 16: 273-282.[Crossref]
  • Xiang J. and Zhu H. Ensemble HMM Learning for Motion Retrieval with Non-linear PCA Dimensionality Reduction. IIHMSP. 2007, 604-607.
  • Tam G., Zheng Q., Rynson M., Lau W.H. Motion Retrieval Based on Energy Morphing. Ninth IEEE International Symposium on Multimedia 2007, 210-217.
  • Wei X., Xiao B., Zhang Q., Zhou D. Effective approach based on semantic matching for retrieval of MoCap data. Journal of Computational Information Systems. 2008, (4)3: 859-866.
  • CMU motion capture database.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_2478_v10078-011-0030-0
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.