• About
  • Policies
  • What is openaccess
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Motion based clustering of model animations using PCA

      Thumbnail
      View / Download
      983.8 Kb
      Author
      Köse, Kıvanç
      Çetin, A. Enis
      Date
      2009
      Source Title
      Proceedings of the IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
      Publisher
      IEEE
      Pages
      317 - 320
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
      157
      views
      133
      downloads
      Abstract
      In the last few years, there is great increase in capture and representation of real 3-Dimensonal scenes using 3D animation models. The 3D signals are then compressed, transmitted to the client side and reconstructed for the user view. Each step mentioned here opened a new subject in the field of signal processing. While processing these models, using the model as a whole is not the best approach. Therefore clustering the model vertices became a very common method. For example, it is very common to use motion based clustering in animation compression. In this paper a new dynamic model clustering algorithm is proposed. Animation vertices are first put through PCA and partitioned into their eigenvalues and eigenvectors. The eigenvectors found using the proposed method can be called eigentrajectories. Then the dot product of the these eigentrajectories with the trajectories of the animation vertice are found. These coefficients are used to cluster the animation model. The results and the comparisons with a similar approach show that the proposed algorithm is successful.
      Keywords
      3D animation
      Animation compression
      Eigenvalues and eigenvectors
      Clustering algorithms
      Eigenvalues and eigenfunctions
      Signal processing
      Three dimensional
      Permalink
      http://hdl.handle.net/11693/28724
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2009.5136396
      Collections
      • Department of Electrical and Electronics Engineering 3524
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 1771
      Copyright © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy