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

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 constr...

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Detalles Bibliográficos
Autores principales: Wei, Xiaopeng, Xiao, Boxiang, Zhang, Qiang, Liu, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Versita, Warsaw 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592104/
https://www.ncbi.nlm.nih.gov/pubmed/23486681
http://dx.doi.org/10.2478/v10078-011-0030-0
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author Wei, Xiaopeng
Xiao, Boxiang
Zhang, Qiang
Liu, Rui
author_facet Wei, Xiaopeng
Xiao, Boxiang
Zhang, Qiang
Liu, Rui
author_sort Wei, Xiaopeng
collection PubMed
description 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.
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spelling pubmed-35921042013-03-13 A Method of Hyper-sphere Cover in Multidimensional Space for Human Mocap Data Retrieval Wei, Xiaopeng Xiao, Boxiang Zhang, Qiang Liu, Rui J Hum Kinet Research Article 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. Versita, Warsaw 2011-07-04 /pmc/articles/PMC3592104/ /pubmed/23486681 http://dx.doi.org/10.2478/v10078-011-0030-0 Text en © Editorial Committee of Journal of Human Kinetics http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Research Article
Wei, Xiaopeng
Xiao, Boxiang
Zhang, Qiang
Liu, Rui
A Method of Hyper-sphere Cover in Multidimensional Space for Human Mocap Data Retrieval
title A Method of Hyper-sphere Cover in Multidimensional Space for Human Mocap Data Retrieval
title_full A Method of Hyper-sphere Cover in Multidimensional Space for Human Mocap Data Retrieval
title_fullStr A Method of Hyper-sphere Cover in Multidimensional Space for Human Mocap Data Retrieval
title_full_unstemmed A Method of Hyper-sphere Cover in Multidimensional Space for Human Mocap Data Retrieval
title_short A Method of Hyper-sphere Cover in Multidimensional Space for Human Mocap Data Retrieval
title_sort method of hyper-sphere cover in multidimensional space for human mocap data retrieval
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592104/
https://www.ncbi.nlm.nih.gov/pubmed/23486681
http://dx.doi.org/10.2478/v10078-011-0030-0
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