Content-aware model resizing with symmetry-preservation

Chunxia Xiao, Liqiang Jin, Yongwei Nie, Renfang Wang, Hanqiu Sun, Kwan-Liu Ma

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

This paper presents a new model resizing approach intended for preservation of important geometric content and geometric symmetries of the model to be resized. We first extract high-level symmetric regions and other low-level salient regions from the input model. Then, we map the extracted low-level and high-level geometry information to a protective tetrahedral mesh around the model, and we define a symmetry-preserving and content-aware resizing function on the tetrahedral mesh using 3D mean value coordinates space deformation. By interpolating within the resized tetrahedral mesh, we obtain the final resizing results for the embedded model. Interactively defined user constraints are also incorporated into our framework to produce more desirable results. Our results show that the resized models preserve the geometric features of important regions in addition to the symmetric aspects of the original model, and eliminate the undesirable distortion in other less important regions.

Original languageEnglish (US)
Pages (from-to)155-167
Number of pages13
JournalVisual Computer
Volume31
Issue number2
DOIs
StatePublished - Jan 1 2014

Keywords

  • Geometry saliency
  • Model resizing
  • Protective mesh
  • Space deformation
  • Symmetry-preservation

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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