Active balloon model based on 3D skeleton extraction by competitive learning

K. Morooka, H. Takagi, H. Nagahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We focus on the polygonal representation of a 3D object model which is composed of a lot of points on the object surface. In the 3D animation, it is sometimes necessary to use multiresolution representation of a model to cope with various situations, and it is preferable to represent the models with different resolutions in a certain unified data structure. In order to meet these requirements, we present a new method which generates the approximated model of an original one by using multiple deformable models, called active balloon models (ABMs). We extract the three-dimensional skeleton of the object. The obtained skeleton comprises nodes and edges, and represents the structure of the object. Based on the skeleton, the approximated model is generated by deforming the ABMs. Some experimental works are made to verify the capability of our method.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2003
PublisherIEEE Computer Society
Pages87-94
Number of pages8
ISBN (Electronic)0769519911
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event4th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2003 - Banff, Canada
Duration: Oct 6 2003Oct 10 2003

Publication series

NameProceedings of International Conference on 3-D Digital Imaging and Modeling, 3DIM
Volume2003-January
ISSN (Print)1550-6185

Conference

Conference4th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2003
Country/TerritoryCanada
CityBanff
Period10/6/0310/10/03

Keywords

  • Animation
  • Character generation
  • Data mining
  • Data structures
  • Deformable models
  • Laboratories
  • Polynomials
  • Shape
  • Skeleton
  • Topology

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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