Local-to-global mesh saliency
Local-to-global mesh saliency
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DOI：
10.1007/s00371-016-1334-9
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发表时间：
2018-03-01
期刊：
影响因子：
3.5
通讯作者：
Echavarria, Karina Rodriguez
中科院分区：
文献类型：
--
作者：
Song, Ran;Liu, Yonghuai;Echavarria, Karina Rodriguez
作为与人类对3D形状的感知一致的区域重要性的度量，网格显着性应该基于网格内的局部几何信息，但不仅仅如此。最近的研究表明，全局考虑在网格显着性中起着重要作用。本文提出了一种局部到全局的网格显著性计算框架，该框架针对网格显著性计算中存在的三个问题提出了新的解决方案：（1）基于统计Laplacian的算法，不仅可以计算局部显著性，而且可以方便地计算全局显著性;（3）整合地方和全球显著性的框架。实验表明，我们的方法可以有效地检测出符合人类感知兴趣的显著特征。我们还提供了比较现有的国家的最先进的方法网格显着性，并显示改进的结果，我们的方法产生。
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.