Mesh Saliency Analysis via Local Curvature Entropy

Limper Max; Arjan Kuijper; Dieter W. Fellner

doi:10.2312/egsh.20161003

Mesh Saliency Analysis via Local Curvature Entropy

Limper Max, Arjan Kuijper, Dieter W. Fellner

Institut für Computer Graphik und Wissensvisualisierung (7110)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

We present a novel approach for estimating mesh saliency. Our method is fast, flexible, and easy to implement. By applying the well-known concept of Shannon entropy to 3D mesh data, we obtain an efficient method to determine mesh saliency. Comparing our method to the most recent, state-of-the-art approach, we show that results of at least similar quality can be achieved within a fraction of the original computation time. We present saliency-guided mesh simplification as a possible application.

Originalsprache	englisch
Titel	Eurographics 2016
Herausgeber (Verlag)	Eurographics - European Association for Computer Graphics
Seiten	13
Seitenumfang	16
Band	2016
DOIs	https://doi.org/10.2312/egsh.20161003
Publikationsstatus	Veröffentlicht - 2016

Schlagwörter

Computer graphics (CG); Research Area: Modeling (MOD); Computational geometry; Object modeling; Mesh simplification

Fields of Expertise

Information, Communication & Computing

Zugriff auf Dokument

10.2312/egsh.20161003

Dieses zitieren

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title = "Mesh Saliency Analysis via Local Curvature Entropy",

abstract = "We present a novel approach for estimating mesh saliency. Our method is fast, flexible, and easy to implement. By applying the well-known concept of Shannon entropy to 3D mesh data, we obtain an efficient method to determine mesh saliency. Comparing our method to the most recent, state-of-the-art approach, we show that results of at least similar quality can be achieved within a fraction of the original computation time. We present saliency-guided mesh simplification as a possible application.",

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AB - We present a novel approach for estimating mesh saliency. Our method is fast, flexible, and easy to implement. By applying the well-known concept of Shannon entropy to 3D mesh data, we obtain an efficient method to determine mesh saliency. Comparing our method to the most recent, state-of-the-art approach, we show that results of at least similar quality can be achieved within a fraction of the original computation time. We present saliency-guided mesh simplification as a possible application.

KW - Computer graphics (CG); Research Area: Modeling (MOD); Computational geometry; Object modeling; Mesh simplification

U2 - 10.2312/egsh.20161003

DO - 10.2312/egsh.20161003

M3 - Conference paper

VL - 2016

SP - 13

BT - Eurographics 2016

PB - Eurographics - European Association for Computer Graphics

ER -