EXOSKELETON: Curve network abstraction for 3D shapes

Author(s)

de Goes, Fernando ^[1] ; Goldenstein, Siome ^[2] ; Desbrun, Mathieu ^[1] ; Velho, Luiz ^[3]

Affiliation

^[1] CALTECH, Pasadena, CA 91125 - USA

^[2] Univ Estadual Campinas, Inst Comp, BR-13084971 Campinas, SP - Brazil

^[3] Inst Matematica Pura & Aplicada, IMPA, BR-22460 Rio De Janeiro - Brazil

• Document type: Journal article
• Source: COMPUTERS & GRAPHICS-UK; v. 35, n. 1, p. 112-121, FEB 2011.
• Web of Science Citations: 15

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. (C) 2010 Elsevier Ltd. All rights reserved. (AU)

• FAPESP's process: 07/52015-0 - Approximation methods for visual computing
• Grantee: Jorge Stolfi
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 09/18438-7 - Large-scale classification and retrieval for complex data
• Grantee: Ricardo da Silva Torres
• Support Opportunities: Regular Research Grants