Technical Section: Exoskeleton: Curve network abstraction for 3D shapes

  • Authors:
  • Fernando De Goes;Siome Goldenstein;Mathieu Desbrun;Luiz Velho

  • Affiliations:
  • California Institute of Technology, Pasadena, CA 91125, USA;Instituto de Computação, UNICAMP, Caixa Postal 6176, 13084-971 Campinas, SP, Brazil;California Institute of Technology, Pasadena, CA 91125, USA;IMPA, Instituto de Matemática Pura e Aplicada, Estrada Dona Castorina 110, 22460 Rio de Janeiro, RJ, Brazil

  • Venue:
  • Computers and Graphics
  • Year:
  • 2011

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Abstract

In this paper, we introduce the concept of an exoskeleton as a new abstraction of arbitrary shapes that succinctly conveys both the perceptual and the geometric structure of a 3D model. We extract exoskeletons via a principled framework that combines segmentation and shape approximation. Our method starts from a segmentation of the shape into perceptually relevant parts and then constructs the exoskeleton using a novel extension of the Variational Shape Approximation method. Benefits of the exoskeleton abstraction to graphics applications such as simplification and chartification are presented.