Local-to-global mesh saliency

Ran Song, Yonghuai Liu, Ralph R. Martin, Karina Rodriguez Echavarria

Research output: Contribution to journalArticlepeer-review

18 Citations (SciVal)
208 Downloads (Pure)

Abstract

As a measure of regional importance in agreement with human perception of 3D shape, mesh saliency should be based on local geometric information within a mesh but more than that. Recent research has shown that global consideration has a significant role in mesh saliency. This paper proposes a local-to-global framework for computing mesh saliency where we offer novel solutions to solve three inherent problems: (1) an algorithm based on statistic Laplacian which does not only compute local saliency, but also facilitates the later computation of global saliency; (2) a local-to-global method based on pooling and global distinctness to compute global saliency; (3) a framework to integrate local and global saliency. Experiments demonstrate that our approach can effectively detect salient features consistent with human perceptual interest. We also provide comparisons to existing state-of-the-art methods for mesh saliency and show improved results produced by our method
Original languageEnglish
Pages (from-to)323-336
Number of pages14
JournalVisual Computer
DOIs
Publication statusPublished - 26 Nov 2016

Keywords

  • mesh saliency
  • Laplacian
  • global distinctness

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