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Multi-scale mesh saliency based on low-rank and sparse analysis in shape feature space

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Publication:1632345
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DOI10.1016/j.cagd.2015.03.003zbMath1417.68257OpenAlexW2042164058MaRDI QIDQ1632345

Shuai Li, Nannan Li, Hong Qin, Shengfa Wang, Zhong-xuan Luo, Zhi-Xun Su

Publication date: 14 December 2018

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2015.03.003


zbMATH Keywords

structuresaliencylow-rank and sparse analysisshape feature


Mathematics Subject Classification ID

Computer science aspects of computer-aided design (68U07) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)


Related Items

Automatic extraction of generic focal features on 3D shapes via random forest regression analysis of geodesics-in-heat ⋮ 3D grasp saliency analysis via deep shape correspondence ⋮ Non-rigid 3D shape retrieval based on multi-scale graphical image and joint Bayesian ⋮ Learning diffusion on global graph: a PDE-directed approach for feature detection on geometric shapes


Uses Software

  • SaliencyToolbox


Cites Work

  • Modeling attention to salient proto-objects
  • Mesh saliency via spectral processing
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