A potential-based generalized cylinder representation

Jen Hui Chuang, Narendra Ahuja, Chien Chou Lin, Chi Hao Tsai, Cheng Hui Chen

Research output: Contribution to journalArticlepeer-review


Generalized cylinder (GC) is a class of parametric shapes that is very flexible and capable of modeling many different types of real-world objects, and have subsequently been the focus of considerable research in the vision community. Most of the related works proposed previously have dealt with the recovery of 3D shape description of objects based on the GC representation from one or more 2D image data. Different from the objective of the previous works, in this paper, we will propose a new approach to obtain a GC-based shape description of 3D objects. The proposed approach of deriving the GC axis is a further extension of the potential-based skeletonization approach presented in (IEEE Trans. Pattern Anal. Mach. Intell. 22(11) (2000) 1241). Simulation results demonstrate that the derived GC representation will yield better approximation of object shape than that based on simpler subclasses of GC since there is, in principle, no restriction on the topology of the GC axis and the shape of the cross-sections.

Original languageEnglish (US)
Pages (from-to)907-918
Number of pages12
JournalComputers and Graphics (Pergamon)
Issue number6
StatePublished - Dec 2004


  • 3D Shape representation
  • Generalized cylinder
  • Potential field

ASJC Scopus subject areas

  • Software
  • General Engineering
  • Signal Processing
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


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