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Link to original content: https://unpaywall.org/10.1007/S00371-016-1334-9
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Local-to-global mesh saliency

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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.

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Acknowledgements

This work is partly funded by EPSRC via the ‘Automatic Semantic Analysis of 3D Content in Digital Repositories’ project (EP/L006685/1). This support is gratefully acknowledged.

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Authors and Affiliations

  1. School of Computing, Engineering and Mathematics, University of Brighton, Brighton, UK

    Ran Song & Karina Rodriguez Echavarria

  2. Department of Computer Science, Aberystwyth University, Aberystwyth, UK

    Yonghuai Liu

  3. School of Computer Science and Informatics, Cardiff University, Cardiff, UK

    Ralph R. Martin

Authors
  1. Ran Song
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  2. Yonghuai Liu
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  3. Ralph R. Martin
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  4. Karina Rodriguez Echavarria
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Correspondence to Ran Song.

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Song, R., Liu, Y., Martin, R.R. et al. Local-to-global mesh saliency. Vis Comput 34, 323–336 (2018). https://doi.org/10.1007/s00371-016-1334-9

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