Classification of 3D models for the 3D animation environments

He Yuesheng*, Yuan Yan Tang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

6 Citations (Scopus)

Abstract

Classification the 3D models in the graphical environment is a key problem with applications in computer graphics, virtual reality, especially the iatelligeat virtual human for Humanoid Animation. The challenging aspects of this problem are to find a suitable shapes' feature that can be used to compare them quickly and a proper method to classify the models on the features. We propose a method of classifying shapes' features for surface-based 3D shape models based oa their shape similarity. The features of shape of 3D models are computed by first converting an input surface based model into an oriented point set model and then computing features histograms of distance and Shape Distributions. Then, Support Vector Machines (SVM) are used to classify the features of the models. By the classification the models can be given semantic meanings in the 3D environment.

Original languageEnglish
Title of host publicationProceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
PublisherIEEE
Pages3786-3791
Number of pages6
ISBN (Electronic)9781424427949
ISBN (Print)9781424427932
DOIs
Publication statusPublished - 11 Oct 2009
Event2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, United States
Duration: 11 Oct 200914 Oct 2009

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Country/TerritoryUnited States
CitySan Antonio, TX
Period11/10/0914/10/09

User-Defined Keywords

  • 3D model
  • Animation
  • Computer graphics
  • Shape
  • SVM
  • Virtual human

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